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Author SHA1 Message Date
Ettore Di Giacinto
ca65e9ee9b Ci testsg 2024-06-13 23:34:11 +02:00
389 changed files with 4217 additions and 15431 deletions

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@@ -1,17 +0,0 @@
#!/bin/bash
cd /workspace
# Get the files into the volume without a bind mount
if [ ! -d ".git" ]; then
git clone https://github.com/mudler/LocalAI.git .
else
git fetch
fi
echo "Standard Post-Create script completed."
if [ -f "/devcontainer-customization/postcreate.sh" ]; then
echo "Launching customization postcreate.sh"
bash "/devcontainer-customization/postcreate.sh"
fi

View File

@@ -1,16 +0,0 @@
#!/bin/bash
cd /workspace
# Grab the pre-stashed backend assets to avoid build issues
cp -r /build/backend-assets /workspace/backend-assets
# Ensures generated source files are present upon load
make prepare
echo "Standard Post-Start script completed."
if [ -f "/devcontainer-customization/poststart.sh" ]; then
echo "Launching customization poststart.sh"
bash "/devcontainer-customization/poststart.sh"
fi

View File

@@ -1,49 +0,0 @@
#!/bin/bash
# This file contains some really simple functions that are useful when building up customization scripts.
# Checks if the git config has a user registered - and sets it up if not.
#
# Param 1: name
# Param 2: email
#
config_user() {
local gcn=$(git config --global user.name)
if [ -z "${gcn}" ]; then
echo "Setting up git user / remote"
git config --global user.name "$1"
git config --global user.email "$2"
fi
}
# Checks if the git remote is configured - and sets it up if not. Fetches either way.
#
# Param 1: remote name
# Param 2: remote url
#
config_remote() {
local gr=$(git remote -v | grep $1)
if [ -z "${gr}" ]; then
git remote add $1 $2
fi
git fetch $1
}
# Setup special .ssh files
#
# Param 1: bash array, filenames relative to the customization directory that should be copied to ~/.ssh
setup_ssh() {
local files=("$@")
for file in "${files[@]}"; then
local cfile="/devcontainer-customization/${file}"
local hfile="~/.ssh/${file}"
if [ ! -f "${hfile}" ]; then
echo "copying ${file}"
cp "${cfile}" "${hfile}"
chmod 600 "${hfile}"
fi
done
ls ~/.ssh
}

View File

@@ -1,25 +0,0 @@
Place any additional resources your environment requires in this directory
Script hooks are currently called for:
`postcreate.sh` and `poststart.sh`
If files with those names exist here, they will be called at the end of the normal script.
This is a good place to set things like `git config --global user.name` are set - and to handle any other files that are mounted via this directory.
To assist in doing so, `source /.devcontainer-scripts/utils.sh` will provide utility functions that may be useful - for example:
```
#!/bin/bash
source "/.devcontainer-scripts/utils.sh"
sshfiles=("config", "key.pub")
setup_ssh "${sshfiles[@]}"
config_user "YOUR NAME" "YOUR EMAIL"
config_remote "REMOTE NAME" "REMOTE URL"
```

View File

@@ -1,24 +0,0 @@
{
"$schema": "https://raw.githubusercontent.com/devcontainers/spec/main/schemas/devContainer.schema.json",
"name": "LocalAI",
"workspaceFolder": "/workspace",
"dockerComposeFile": [ "./docker-compose-devcontainer.yml" ],
"service": "api",
"shutdownAction": "stopCompose",
"customizations": {
"vscode": {
"extensions": [
"golang.go",
"ms-vscode.makefile-tools",
"ms-azuretools.vscode-docker",
"ms-python.python",
"ms-python.debugpy",
"wayou.vscode-todo-highlight",
"waderyan.gitblame"
]
}
},
"forwardPorts": [8080, 3000],
"postCreateCommand": "bash /.devcontainer-scripts/postcreate.sh",
"postStartCommand": "bash /.devcontainer-scripts/poststart.sh"
}

View File

@@ -1,48 +0,0 @@
services:
api:
build:
context: ..
dockerfile: Dockerfile
target: devcontainer
args:
- FFMPEG=true
- IMAGE_TYPE=extras
- GO_TAGS=stablediffusion p2p tts
env_file:
- ../.env
ports:
- 8080:8080
volumes:
- localai_workspace:/workspace
- ../models:/host-models
- ./customization:/devcontainer-customization
command: /bin/sh -c "while sleep 1000; do :; done"
cap_add:
- SYS_PTRACE
security_opt:
- seccomp:unconfined
prometheus:
image: prom/prometheus
container_name: prometheus
command:
- '--config.file=/etc/prometheus/prometheus.yml'
ports:
- 9090:9090
restart: unless-stopped
volumes:
- ./prometheus:/etc/prometheus
- prom_data:/prometheus
grafana:
image: grafana/grafana
container_name: grafana
ports:
- 3000:3000
restart: unless-stopped
environment:
- GF_SECURITY_ADMIN_USER=admin
- GF_SECURITY_ADMIN_PASSWORD=grafana
volumes:
- ./grafana:/etc/grafana/provisioning/datasources
volumes:
prom_data:
localai_workspace:

View File

@@ -1,10 +0,0 @@
apiVersion: 1
datasources:
- name: Prometheus
type: prometheus
url: http://prometheus:9090
isDefault: true
access: proxy
editable: true

View File

@@ -1,21 +0,0 @@
global:
scrape_interval: 15s
scrape_timeout: 10s
evaluation_interval: 15s
alerting:
alertmanagers:
- static_configs:
- targets: []
scheme: http
timeout: 10s
api_version: v1
scrape_configs:
- job_name: prometheus
honor_timestamps: true
scrape_interval: 15s
scrape_timeout: 10s
metrics_path: /metrics
scheme: http
static_configs:
- targets:
- localhost:9090

View File

@@ -1,7 +1,6 @@
.idea
.github
.vscode
.devcontainer
models
examples/chatbot-ui/models
examples/rwkv/models

3
.env
View File

@@ -79,9 +79,6 @@
### Enable to run parallel requests
# LOCALAI_PARALLEL_REQUESTS=true
# Enable to allow p2p mode
# LOCALAI_P2P=true
### Watchdog settings
###
# Enables watchdog to kill backends that are inactive for too much time

13
.github/bump_deps.sh vendored
View File

@@ -6,17 +6,4 @@ VAR=$3
LAST_COMMIT=$(curl -s -H "Accept: application/vnd.github.VERSION.sha" "https://api.github.com/repos/$REPO/commits/$BRANCH")
# Read $VAR from Makefile (only first match)
set +e
CURRENT_COMMIT="$(grep -m1 "^$VAR?=" Makefile | cut -d'=' -f2)"
set -e
sed -i Makefile -e "s/$VAR?=.*/$VAR?=$LAST_COMMIT/"
if [ -z "$CURRENT_COMMIT" ]; then
echo "Could not find $VAR in Makefile."
exit 0
fi
echo "Changes: https://github.com/$REPO/compare/${CURRENT_COMMIT}..${LAST_COMMIT}" >> "${VAR}_message.txt"
echo "${LAST_COMMIT}" >> "${VAR}_commit.txt"

View File

@@ -1,80 +0,0 @@
import hashlib
from huggingface_hub import hf_hub_download, get_paths_info
import requests
import sys
import os
uri = sys.argv[1]
file_name = uri.split('/')[-1]
# Function to parse the URI and determine download method
def parse_uri(uri):
if uri.startswith('huggingface://'):
repo_id = uri.split('://')[1]
return 'huggingface', repo_id.rsplit('/', 1)[0]
elif 'huggingface.co' in uri:
parts = uri.split('/resolve/')
if len(parts) > 1:
repo_path = parts[0].split('https://huggingface.co/')[-1]
return 'huggingface', repo_path
return 'direct', uri
def calculate_sha256(file_path):
sha256_hash = hashlib.sha256()
with open(file_path, 'rb') as f:
for byte_block in iter(lambda: f.read(4096), b''):
sha256_hash.update(byte_block)
return sha256_hash.hexdigest()
def manual_safety_check_hf(repo_id):
scanResponse = requests.get('https://huggingface.co/api/models/' + repo_id + "/scan")
scan = scanResponse.json()
if scan['hasUnsafeFile']:
return scan
return None
download_type, repo_id_or_url = parse_uri(uri)
new_checksum = None
file_path = None
# Decide download method based on URI type
if download_type == 'huggingface':
# Check if the repo is flagged as dangerous by HF
hazard = manual_safety_check_hf(repo_id_or_url)
if hazard != None:
print(f'Error: HuggingFace has detected security problems for {repo_id_or_url}: {str(hazard)}', filename=file_name)
sys.exit(5)
# Use HF API to pull sha
for file in get_paths_info(repo_id_or_url, [file_name], repo_type='model'):
try:
new_checksum = file.lfs.sha256
break
except Exception as e:
print(f'Error from Hugging Face Hub: {str(e)}', file=sys.stderr)
sys.exit(2)
if new_checksum is None:
try:
file_path = hf_hub_download(repo_id=repo_id_or_url, filename=file_name)
except Exception as e:
print(f'Error from Hugging Face Hub: {str(e)}', file=sys.stderr)
sys.exit(2)
else:
response = requests.get(repo_id_or_url)
if response.status_code == 200:
with open(file_name, 'wb') as f:
f.write(response.content)
file_path = file_name
elif response.status_code == 404:
print(f'File not found: {response.status_code}', file=sys.stderr)
sys.exit(2)
else:
print(f'Error downloading file: {response.status_code}', file=sys.stderr)
sys.exit(1)
if new_checksum is None:
new_checksum = calculate_sha256(file_path)
print(new_checksum)
os.remove(file_path)
else:
print(new_checksum)

View File

@@ -14,14 +14,77 @@ function check_and_update_checksum() {
idx="$5"
# Download the file and calculate new checksum using Python
new_checksum=$(python3 ./.github/check_and_update.py $uri)
result=$?
new_checksum=$(python3 -c "
import hashlib
from huggingface_hub import hf_hub_download, get_paths_info
import requests
import sys
import os
if [[ $result -eq 5 ]]; then
echo "Contaminated entry detected, deleting entry for $model_name..."
yq eval -i "del([$idx])" "$input_yaml"
return
fi
uri = '$uri'
file_name = uri.split('/')[-1]
# Function to parse the URI and determine download method
# Function to parse the URI and determine download method
def parse_uri(uri):
if uri.startswith('huggingface://'):
repo_id = uri.split('://')[1]
return 'huggingface', repo_id.rsplit('/', 1)[0]
elif 'huggingface.co' in uri:
parts = uri.split('/resolve/')
if len(parts) > 1:
repo_path = parts[0].split('https://huggingface.co/')[-1]
return 'huggingface', repo_path
return 'direct', uri
def calculate_sha256(file_path):
sha256_hash = hashlib.sha256()
with open(file_path, 'rb') as f:
for byte_block in iter(lambda: f.read(4096), b''):
sha256_hash.update(byte_block)
return sha256_hash.hexdigest()
download_type, repo_id_or_url = parse_uri(uri)
new_checksum = None
# Decide download method based on URI type
if download_type == 'huggingface':
# Use HF API to pull sha
for file in get_paths_info(repo_id_or_url, [file_name], repo_type='model'):
try:
new_checksum = file.lfs.sha256
break
except Exception as e:
print(f'Error from Hugging Face Hub: {str(e)}', file=sys.stderr)
sys.exit(2)
if new_checksum is None:
try:
file_path = hf_hub_download(repo_id=repo_id_or_url, filename=file_name)
except Exception as e:
print(f'Error from Hugging Face Hub: {str(e)}', file=sys.stderr)
sys.exit(2)
else:
response = requests.get(repo_id_or_url)
if response.status_code == 200:
with open(file_name, 'wb') as f:
f.write(response.content)
file_path = file_name
elif response.status_code == 404:
print(f'File not found: {response.status_code}', file=sys.stderr)
sys.exit(2)
else:
print(f'Error downloading file: {response.status_code}', file=sys.stderr)
sys.exit(1)
if new_checksum is None:
new_checksum = calculate_sha256(file_path)
print(new_checksum)
os.remove(file_path)
else:
print(new_checksum)
")
if [[ "$new_checksum" == "" ]]; then
echo "Error calculating checksum for $file_name. Skipping..."
@@ -31,7 +94,7 @@ function check_and_update_checksum() {
echo "Checksum for $file_name: $new_checksum"
# Compare and update the YAML file if checksums do not match
result=$?
if [[ $result -eq 2 ]]; then
echo "File not found, deleting entry for $file_name..."
# yq eval -i "del(.[$idx].files[] | select(.filename == \"$file_name\"))" "$input_yaml"

View File

@@ -75,7 +75,7 @@ var modelPageTemplate string = `
<div class="container mx-auto px-4 py-4">
<div class="flex items-center justify-between">
<div class="flex items-center">
<a href="/" class="text-white text-xl font-bold"><img src="https://github.com/mudler/LocalAI/assets/2420543/0966aa2a-166e-4f99-a3e5-6c915fc997dd" alt="LocalAI Logo" class="h-10 mr-3 border-2 border-gray-300 shadow rounded"></a>
<a href="/" class="text-white text-xl font-bold"><img src="https://github.com/go-skynet/LocalAI/assets/2420543/0966aa2a-166e-4f99-a3e5-6c915fc997dd" alt="LocalAI Logo" class="h-10 mr-3 border-2 border-gray-300 shadow rounded"></a>
<a href="/" class="text-white text-xl font-bold">LocalAI</a>
</div>
<!-- Menu button for small screens -->
@@ -92,9 +92,9 @@ var modelPageTemplate string = `
<!-- Collapsible menu for small screens -->
<div class="hidden lg:hidden" id="mobile-menu">
<div class="pt-4 pb-3 border-t border-gray-700">
<a href="https://localai.io" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1" target="_blank" ><i class="fas fa-book-reader pr-2"></i> Documentation</a>
</div>
</div>
</div>
@@ -114,17 +114,17 @@ var modelPageTemplate string = `
<h2 class="text-center text-3xl font-semibold text-gray-100">
🖼️ Available {{.AvailableModels}} models</i> <a href="https://localai.io/models/" target="_blank" >
🖼️ Available {{.AvailableModels}} models</i> repositories <a href="https://localai.io/models/" target="_blank" >
<i class="fas fa-circle-info pr-2"></i>
</a></h2>
</a></h2>
<h3>
Refer to the Model gallery <a href="https://localai.io/models/" target="_blank" ><i class="fas fa-circle-info pr-2"></i></a> for more information on how to use the models with LocalAI.<br>
<h3>
Refer to <a href="https://localai.io/models" target=_blank> Model gallery</a> for more information on how to use the models with LocalAI.
You can install models with the CLI command <code>local-ai models install <model-name></code>. or by using the WebUI.
</h3>
<input class="form-control appearance-none block w-full mt-5 px-3 py-2 text-base font-normal text-gray-300 pb-2 mb-5 bg-gray-800 bg-clip-padding border border-solid border-gray-600 rounded transition ease-in-out m-0 focus:text-gray-300 focus:bg-gray-900 focus:border-blue-500 focus:outline-none" type="search"
<input class="form-control appearance-none block w-full mt-5 px-3 py-2 text-base font-normal text-gray-300 pb-2 mb-5 bg-gray-800 bg-clip-padding border border-solid border-gray-600 rounded transition ease-in-out m-0 focus:text-gray-300 focus:bg-gray-900 focus:border-blue-500 focus:outline-none" type="search"
id="searchbox" placeholder="Live search keyword..">
<div class="dark grid grid-cols-1 grid-rows-1 md:grid-cols-3 block rounded-lg shadow-secondary-1 dark:bg-surface-dark">
{{ range $_, $model := .Models }}
@@ -139,10 +139,10 @@ var modelPageTemplate string = `
</div>
<div class="p-6 text-surface dark:text-white">
<h5 class="mb-2 text-xl font-medium leading-tight">{{$model.Name}}</h5>
<p class="mb-4 text-base truncate">{{ $model.Description }}</p>
</div>
<div class="px-6 pt-4 pb-2">
@@ -178,7 +178,7 @@ var modelPageTemplate string = `
{{ $model.Description }}
</p>
<p class="text-base leading-relaxed text-gray-500 dark:text-gray-400">
To install the model with the CLI, run: <br>
<code> local-ai models install {{$model.Name}} </code> <br>
@@ -193,7 +193,7 @@ var modelPageTemplate string = `
<ul>
{{ range $_, $u := $model.URLs }}
<li><a href="{{ $u }}" target=_blank><i class="fa-solid fa-link"></i> {{ $u }}</a></li>
{{ end }}
{{ end }}
</ul>
</p>
</div>
@@ -209,7 +209,7 @@ var modelPageTemplate string = `
</div>
</div>
</div>
{{ end }}
{{ end }}
</div>
</div>
@@ -221,10 +221,10 @@ var lazyLoadInstance = new LazyLoad({
});
let cards = document.querySelectorAll('.box')
function liveSearch() {
let search_query = document.getElementById("searchbox").value;
//Use innerText if all contents are visible
//Use textContent for including hidden elements
for (var i = 0; i < cards.length; i++) {
@@ -238,8 +238,8 @@ function liveSearch() {
}
//A little delay
let typingTimer;
let typeInterval = 500;
let typingTimer;
let typeInterval = 500;
let searchInput = document.getElementById('searchbox');
searchInput.addEventListener('keyup', () => {

108
.github/dependabot.yml vendored
View File

@@ -1,10 +1,6 @@
# https://docs.github.com/en/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file
version: 2
updates:
- package-ecosystem: "gitsubmodule"
directory: "/"
schedule:
interval: "weekly"
- package-ecosystem: "gomod"
directory: "/"
schedule:
@@ -27,107 +23,3 @@ updates:
schedule:
# Check for updates to GitHub Actions every weekday
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/autogptq"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/bark"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/common/template"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/coqui"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/diffusers"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/exllama"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/exllama2"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/mamba"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/openvoice"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/parler-tts"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/rerankers"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/sentencetransformers"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/transformers"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/transformers-musicgen"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/vall-e-x"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/backend/python/vllm"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/examples/chainlit"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/examples/functions"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/examples/langchain/langchainpy-localai-example"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/examples/langchain-chroma"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directory: "/examples/streamlit-bot"
schedule:
interval: "weekly"
- package-ecosystem: "docker"
directory: "/examples/k8sgpt"
schedule:
interval: "weekly"
- package-ecosystem: "docker"
directory: "/examples/kubernetes"
schedule:
interval: "weekly"
- package-ecosystem: "docker"
directory: "/examples/langchain"
schedule:
interval: "weekly"
- package-ecosystem: "gomod"
directory: "/examples/semantic-todo"
schedule:
interval: "weekly"
- package-ecosystem: "docker"
directory: "/examples/telegram-bot"
schedule:
interval: "weekly"

3
.github/release.yml vendored
View File

@@ -13,9 +13,6 @@ changelog:
labels:
- bug
- regression
- title: "🖧 P2P area"
labels:
- area/p2p
- title: Exciting New Features 🎉
labels:
- Semver-Minor

View File

@@ -9,6 +9,9 @@ jobs:
fail-fast: false
matrix:
include:
- repository: "go-skynet/go-llama.cpp"
variable: "GOLLAMA_VERSION"
branch: "master"
- repository: "ggerganov/llama.cpp"
variable: "CPPLLAMA_VERSION"
branch: "master"
@@ -27,6 +30,9 @@ jobs:
- repository: "go-skynet/bloomz.cpp"
variable: "BLOOMZ_VERSION"
branch: "main"
- repository: "nomic-ai/gpt4all"
variable: "GPT4ALL_VERSION"
branch: "main"
- repository: "mudler/go-ggllm.cpp"
variable: "GOGGLLM_VERSION"
branch: "master"
@@ -40,30 +46,17 @@ jobs:
steps:
- uses: actions/checkout@v4
- name: Bump dependencies 🔧
id: bump
run: |
bash .github/bump_deps.sh ${{ matrix.repository }} ${{ matrix.branch }} ${{ matrix.variable }}
{
echo 'message<<EOF'
cat "${{ matrix.variable }}_message.txt"
echo EOF
} >> "$GITHUB_OUTPUT"
{
echo 'commit<<EOF'
cat "${{ matrix.variable }}_commit.txt"
echo EOF
} >> "$GITHUB_OUTPUT"
rm -rfv ${{ matrix.variable }}_message.txt
rm -rfv ${{ matrix.variable }}_commit.txt
- name: Create Pull Request
uses: peter-evans/create-pull-request@v6
with:
token: ${{ secrets.UPDATE_BOT_TOKEN }}
push-to-fork: ci-forks/LocalAI
commit-message: ':arrow_up: Update ${{ matrix.repository }}'
title: 'chore: :arrow_up: Update ${{ matrix.repository }} to `${{ steps.bump.outputs.commit }}`'
title: ':arrow_up: Update ${{ matrix.repository }}'
branch: "update/${{ matrix.variable }}"
body: ${{ steps.bump.outputs.message }}
body: Bump of ${{ matrix.repository }} version
signoff: true

View File

@@ -22,7 +22,7 @@ jobs:
token: ${{ secrets.UPDATE_BOT_TOKEN }}
push-to-fork: ci-forks/LocalAI
commit-message: ':arrow_up: Update docs version ${{ matrix.repository }}'
title: 'docs: :arrow_up: update docs version ${{ matrix.repository }}'
title: ':arrow_up: Update docs version ${{ matrix.repository }}'
branch: "update/docs"
body: Bump of ${{ matrix.repository }} version inside docs
signoff: true

View File

@@ -20,12 +20,12 @@ jobs:
run: |
sudo apt-get update
sudo apt-get install -y pip wget
sudo pip install --upgrade pip
sudo pip install --upgrade pip
pip install huggingface_hub
- name: 'Setup yq'
uses: dcarbone/install-yq-action@v1.1.1
with:
version: 'v4.44.2'
version: 'v4.43.1'
download-compressed: true
force: true
@@ -41,7 +41,7 @@ jobs:
token: ${{ secrets.UPDATE_BOT_TOKEN }}
push-to-fork: ci-forks/LocalAI
commit-message: ':arrow_up: Checksum updates in gallery/index.yaml'
title: 'chore(model-gallery): :arrow_up: update checksum'
title: 'models(gallery): :arrow_up: update checksum'
branch: "update/checksum"
body: Updating checksums in gallery/index.yaml
signoff: true

View File

@@ -14,7 +14,7 @@ jobs:
steps:
- name: Dependabot metadata
id: metadata
uses: dependabot/fetch-metadata@v2.2.0
uses: dependabot/fetch-metadata@v2.1.0
with:
github-token: "${{ secrets.GITHUB_TOKEN }}"
skip-commit-verification: true

View File

@@ -1,64 +0,0 @@
name: Explorer deployment
on:
push:
branches:
- master
tags:
- 'v*'
concurrency:
group: ci-deploy-${{ github.head_ref || github.ref }}-${{ github.repository }}
jobs:
build-linux:
runs-on: ubuntu-latest
steps:
- name: Clone
uses: actions/checkout@v4
with:
submodules: true
- uses: actions/setup-go@v5
with:
go-version: '1.21.x'
cache: false
- name: Dependencies
run: |
sudo apt-get update
sudo apt-get install -y wget curl build-essential ffmpeg protobuf-compiler ccache upx-ucl gawk cmake libgmock-dev
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
make protogen-go
- name: Build api
run: |
CGO_ENABLED=0 make build-api
- name: rm
uses: appleboy/ssh-action@v1.0.3
with:
host: ${{ secrets.EXPLORER_SSH_HOST }}
username: ${{ secrets.EXPLORER_SSH_USERNAME }}
key: ${{ secrets.EXPLORER_SSH_KEY }}
port: ${{ secrets.EXPLORER_SSH_PORT }}
script: |
sudo rm -rf local-ai/ || true
- name: copy file via ssh
uses: appleboy/scp-action@v0.1.7
with:
host: ${{ secrets.EXPLORER_SSH_HOST }}
username: ${{ secrets.EXPLORER_SSH_USERNAME }}
key: ${{ secrets.EXPLORER_SSH_KEY }}
port: ${{ secrets.EXPLORER_SSH_PORT }}
source: "local-ai"
overwrite: true
rm: true
target: ./local-ai
- name: restarting
uses: appleboy/ssh-action@v1.0.3
with:
host: ${{ secrets.EXPLORER_SSH_HOST }}
username: ${{ secrets.EXPLORER_SSH_USERNAME }}
key: ${{ secrets.EXPLORER_SSH_KEY }}
port: ${{ secrets.EXPLORER_SSH_PORT }}
script: |
sudo cp -rfv local-ai/local-ai /usr/bin/local-ai
sudo systemctl restart local-ai

View File

@@ -1,83 +0,0 @@
name: Comment PRs
on:
pull_request_target:
jobs:
comment-pr:
env:
MODEL_NAME: hermes-2-theta-llama-3-8b
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v3
with:
ref: "${{ github.event.pull_request.merge_commit_sha }}"
fetch-depth: 0 # needed to checkout all branches for this Action to work
- uses: mudler/localai-github-action@v1
with:
model: 'hermes-2-theta-llama-3-8b' # Any from models.localai.io, or from huggingface.com with: "huggingface://<repository>/file"
# Check the PR diff using the current branch and the base branch of the PR
- uses: GrantBirki/git-diff-action@v2.7.0
id: git-diff-action
with:
json_diff_file_output: diff.json
raw_diff_file_output: diff.txt
file_output_only: "true"
base_branch: ${{ github.event.pull_request.base.sha }}
- name: Show diff
env:
DIFF: ${{ steps.git-diff-action.outputs.raw-diff-path }}
run: |
cat $DIFF
- name: Summarize
env:
DIFF: ${{ steps.git-diff-action.outputs.raw-diff-path }}
id: summarize
run: |
input="$(cat $DIFF)"
# Define the LocalAI API endpoint
API_URL="http://localhost:8080/chat/completions"
# Create a JSON payload using jq to handle special characters
json_payload=$(jq -n --arg input "$input" '{
model: "'$MODEL_NAME'",
messages: [
{
role: "system",
content: "You are LocalAI-bot in Github that helps understanding PRs and assess complexity. Explain what has changed in this PR diff and why"
},
{
role: "user",
content: $input
}
]
}')
# Send the request to LocalAI
response=$(curl -s -X POST $API_URL \
-H "Content-Type: application/json" \
-d "$json_payload")
# Extract the summary from the response
summary="$(echo $response | jq -r '.choices[0].message.content')"
# Print the summary
# -H "Authorization: Bearer $API_KEY" \
echo "Summary:"
echo "$summary"
echo "payload sent"
echo "$json_payload"
{
echo 'message<<EOF'
echo "$summary"
echo EOF
} >> "$GITHUB_OUTPUT"
docker logs --tail 10 local-ai
- uses: mshick/add-pr-comment@v2
if: always()
with:
repo-token: ${{ secrets.UPDATE_BOT_TOKEN }}
message: ${{ steps.summarize.outputs.message }}
message-failure: |
Uh oh! Could not analyze this PR, maybe it's too big?

View File

@@ -75,7 +75,7 @@ jobs:
uses: actions/checkout@v4
- name: Cache GRPC
uses: docker/build-push-action@v6
uses: docker/build-push-action@v5
with:
builder: ${{ steps.buildx.outputs.name }}
# The build-args MUST be an EXACT match between the image cache and other workflow steps that want to use that cache.
@@ -84,11 +84,11 @@ jobs:
build-args: |
GRPC_BASE_IMAGE=${{ matrix.grpc-base-image }}
GRPC_MAKEFLAGS=--jobs=4 --output-sync=target
GRPC_VERSION=v1.65.0
GRPC_VERSION=v1.64.0
context: .
file: ./Dockerfile
cache-to: type=gha,ignore-error=true
cache-from: type=gha
target: grpc
platforms: ${{ matrix.platforms }}
push: false
push: false

View File

@@ -15,7 +15,7 @@ jobs:
strategy:
matrix:
include:
- base-image: intel/oneapi-basekit:2024.2.0-devel-ubuntu22.04
- base-image: intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04
runs-on: 'ubuntu-latest'
platforms: 'linux/amd64'
runs-on: ${{matrix.runs-on}}
@@ -46,7 +46,7 @@ jobs:
uses: actions/checkout@v4
- name: Cache Intel images
uses: docker/build-push-action@v6
uses: docker/build-push-action@v5
with:
builder: ${{ steps.buildx.outputs.name }}
build-args: |

View File

@@ -32,22 +32,21 @@ jobs:
strategy:
# Pushing with all jobs in parallel
# eats the bandwidth of all the nodes
max-parallel: ${{ github.event_name != 'pull_request' && 4 || 8 }}
max-parallel: ${{ github.event_name != 'pull_request' && 2 || 4 }}
matrix:
include:
# This is basically covered by the AIO test
# - build-type: ''
# platforms: 'linux/amd64'
# tag-latest: 'false'
# tag-suffix: '-ffmpeg'
# ffmpeg: 'true'
# image-type: 'extras'
# runs-on: 'arc-runner-set'
# base-image: "ubuntu:22.04"
# makeflags: "--jobs=3 --output-sync=target"
- build-type: ''
platforms: 'linux/amd64'
tag-latest: 'false'
tag-suffix: '-ffmpeg'
ffmpeg: 'true'
image-type: 'extras'
runs-on: 'arc-runner-set'
base-image: "ubuntu:22.04"
makeflags: "--jobs=3 --output-sync=target"
- build-type: 'cublas'
cuda-major-version: "12"
cuda-minor-version: "0"
cuda-minor-version: "1"
platforms: 'linux/amd64'
tag-latest: 'false'
tag-suffix: '-cublas-cuda12-ffmpeg'
@@ -56,85 +55,76 @@ jobs:
runs-on: 'arc-runner-set'
base-image: "ubuntu:22.04"
makeflags: "--jobs=3 --output-sync=target"
# - build-type: 'hipblas'
# platforms: 'linux/amd64'
# tag-latest: 'false'
# tag-suffix: '-hipblas'
# ffmpeg: 'false'
# image-type: 'extras'
# base-image: "rocm/dev-ubuntu-22.04:6.1"
# grpc-base-image: "ubuntu:22.04"
# runs-on: 'arc-runner-set'
# makeflags: "--jobs=3 --output-sync=target"
# - build-type: 'sycl_f16'
# platforms: 'linux/amd64'
# tag-latest: 'false'
# base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
# grpc-base-image: "ubuntu:22.04"
# tag-suffix: 'sycl-f16-ffmpeg'
# ffmpeg: 'true'
# image-type: 'extras'
# runs-on: 'arc-runner-set'
# makeflags: "--jobs=3 --output-sync=target"
# core-image-build:
# uses: ./.github/workflows/image_build.yml
# with:
# tag-latest: ${{ matrix.tag-latest }}
# tag-suffix: ${{ matrix.tag-suffix }}
# ffmpeg: ${{ matrix.ffmpeg }}
# image-type: ${{ matrix.image-type }}
# build-type: ${{ matrix.build-type }}
# cuda-major-version: ${{ matrix.cuda-major-version }}
# cuda-minor-version: ${{ matrix.cuda-minor-version }}
# platforms: ${{ matrix.platforms }}
# runs-on: ${{ matrix.runs-on }}
# base-image: ${{ matrix.base-image }}
# grpc-base-image: ${{ matrix.grpc-base-image }}
# makeflags: ${{ matrix.makeflags }}
# secrets:
# dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
# dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
# quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
# quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
# strategy:
# matrix:
# include:
# - build-type: ''
# platforms: 'linux/amd64'
# tag-latest: 'false'
# tag-suffix: '-ffmpeg-core'
# ffmpeg: 'true'
# image-type: 'core'
# runs-on: 'ubuntu-latest'
# base-image: "ubuntu:22.04"
# makeflags: "--jobs=4 --output-sync=target"
# - build-type: 'sycl_f16'
# platforms: 'linux/amd64'
# tag-latest: 'false'
# base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
# grpc-base-image: "ubuntu:22.04"
# tag-suffix: 'sycl-f16-ffmpeg-core'
# ffmpeg: 'true'
# image-type: 'core'
# runs-on: 'arc-runner-set'
# makeflags: "--jobs=3 --output-sync=target"
# - build-type: 'cublas'
# cuda-major-version: "12"
# cuda-minor-version: "0"
# platforms: 'linux/amd64'
# tag-latest: 'false'
# tag-suffix: '-cublas-cuda12-ffmpeg-core'
# ffmpeg: 'true'
# image-type: 'core'
# runs-on: 'ubuntu-latest'
# base-image: "ubuntu:22.04"
# makeflags: "--jobs=4 --output-sync=target"
# - build-type: 'vulkan'
# platforms: 'linux/amd64'
# tag-latest: 'false'
# tag-suffix: '-vulkan-ffmpeg-core'
# ffmpeg: 'true'
# image-type: 'core'
# runs-on: 'ubuntu-latest'
# base-image: "ubuntu:22.04"
# makeflags: "--jobs=4 --output-sync=target"
- build-type: 'hipblas'
platforms: 'linux/amd64'
tag-latest: 'false'
tag-suffix: '-hipblas'
ffmpeg: 'false'
image-type: 'extras'
base-image: "rocm/dev-ubuntu-22.04:6.1"
grpc-base-image: "ubuntu:22.04"
runs-on: 'arc-runner-set'
makeflags: "--jobs=3 --output-sync=target"
- build-type: 'sycl_f16'
platforms: 'linux/amd64'
tag-latest: 'false'
base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
grpc-base-image: "ubuntu:22.04"
tag-suffix: 'sycl-f16-ffmpeg'
ffmpeg: 'true'
image-type: 'extras'
runs-on: 'arc-runner-set'
makeflags: "--jobs=3 --output-sync=target"
core-image-build:
uses: ./.github/workflows/image_build.yml
with:
tag-latest: ${{ matrix.tag-latest }}
tag-suffix: ${{ matrix.tag-suffix }}
ffmpeg: ${{ matrix.ffmpeg }}
image-type: ${{ matrix.image-type }}
build-type: ${{ matrix.build-type }}
cuda-major-version: ${{ matrix.cuda-major-version }}
cuda-minor-version: ${{ matrix.cuda-minor-version }}
platforms: ${{ matrix.platforms }}
runs-on: ${{ matrix.runs-on }}
base-image: ${{ matrix.base-image }}
grpc-base-image: ${{ matrix.grpc-base-image }}
makeflags: ${{ matrix.makeflags }}
secrets:
dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
matrix:
include:
- build-type: ''
platforms: 'linux/amd64'
tag-latest: 'false'
tag-suffix: '-ffmpeg-core'
ffmpeg: 'true'
image-type: 'core'
runs-on: 'ubuntu-latest'
base-image: "ubuntu:22.04"
makeflags: "--jobs=4 --output-sync=target"
- build-type: 'sycl_f16'
platforms: 'linux/amd64'
tag-latest: 'false'
base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
grpc-base-image: "ubuntu:22.04"
tag-suffix: 'sycl-f16-ffmpeg-core'
ffmpeg: 'true'
image-type: 'core'
runs-on: 'arc-runner-set'
makeflags: "--jobs=3 --output-sync=target"
- build-type: 'cublas'
cuda-major-version: "12"
cuda-minor-version: "1"
platforms: 'linux/amd64'
tag-latest: 'false'
tag-suffix: '-cublas-cuda12-ffmpeg-core'
ffmpeg: 'true'
image-type: 'core'
runs-on: 'ubuntu-latest'
base-image: "ubuntu:22.04"
makeflags: "--jobs=4 --output-sync=target"

View File

@@ -39,7 +39,7 @@ jobs:
strategy:
# Pushing with all jobs in parallel
# eats the bandwidth of all the nodes
max-parallel: ${{ github.event_name != 'pull_request' && 6 || 10 }}
max-parallel: ${{ github.event_name != 'pull_request' && 2 || 4 }}
matrix:
include:
# Extra images
@@ -75,7 +75,7 @@ jobs:
makeflags: "--jobs=3 --output-sync=target"
- build-type: 'cublas'
cuda-major-version: "12"
cuda-minor-version: "0"
cuda-minor-version: "1"
platforms: 'linux/amd64'
tag-latest: 'false'
tag-suffix: '-cublas-cuda12'
@@ -100,7 +100,7 @@ jobs:
makeflags: "--jobs=3 --output-sync=target"
- build-type: 'cublas'
cuda-major-version: "12"
cuda-minor-version: "0"
cuda-minor-version: "1"
platforms: 'linux/amd64'
tag-latest: 'auto'
tag-suffix: '-cublas-cuda12-ffmpeg'
@@ -232,7 +232,7 @@ jobs:
grpc-base-image: "ubuntu:22.04"
runs-on: 'arc-runner-set'
makeflags: "--jobs=3 --output-sync=target"
core-image-build:
uses: ./.github/workflows/image_build.yml
with:
@@ -257,7 +257,6 @@ jobs:
quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
max-parallel: ${{ github.event_name != 'pull_request' && 2 || 4 }}
matrix:
include:
- build-type: ''
@@ -267,7 +266,7 @@ jobs:
ffmpeg: 'true'
image-type: 'core'
base-image: "ubuntu:22.04"
runs-on: 'arc-runner-set'
runs-on: 'ubuntu-latest'
aio: "-aio-cpu"
latest-image: 'latest-cpu'
latest-image-aio: 'latest-aio-cpu'
@@ -281,18 +280,18 @@ jobs:
ffmpeg: ''
image-type: 'core'
base-image: "ubuntu:22.04"
runs-on: 'arc-runner-set'
runs-on: 'ubuntu-latest'
makeflags: "--jobs=4 --output-sync=target"
- build-type: 'cublas'
cuda-major-version: "12"
cuda-minor-version: "0"
cuda-minor-version: "1"
platforms: 'linux/amd64'
tag-latest: 'false'
tag-suffix: '-cublas-cuda12-core'
ffmpeg: ''
image-type: 'core'
base-image: "ubuntu:22.04"
runs-on: 'arc-runner-set'
runs-on: 'ubuntu-latest'
makeflags: "--jobs=4 --output-sync=target"
- build-type: 'cublas'
cuda-major-version: "11"
@@ -302,27 +301,17 @@ jobs:
tag-suffix: '-cublas-cuda11-ffmpeg-core'
ffmpeg: 'true'
image-type: 'core'
runs-on: 'arc-runner-set'
runs-on: 'ubuntu-latest'
base-image: "ubuntu:22.04"
makeflags: "--jobs=4 --output-sync=target"
- build-type: 'cublas'
cuda-major-version: "12"
cuda-minor-version: "0"
cuda-minor-version: "1"
platforms: 'linux/amd64'
tag-latest: 'false'
tag-suffix: '-cublas-cuda12-ffmpeg-core'
ffmpeg: 'true'
image-type: 'core'
runs-on: 'arc-runner-set'
base-image: "ubuntu:22.04"
makeflags: "--jobs=4 --output-sync=target"
- build-type: 'vulkan'
platforms: 'linux/amd64'
tag-latest: 'false'
tag-suffix: '-vulkan-ffmpeg-core'
latest-image: 'latest-vulkan-ffmpeg-core'
ffmpeg: 'true'
image-type: 'core'
runs-on: 'arc-runner-set'
runs-on: 'ubuntu-latest'
base-image: "ubuntu:22.04"
makeflags: "--jobs=4 --output-sync=target"

View File

@@ -19,11 +19,11 @@ on:
type: string
cuda-major-version:
description: 'CUDA major version'
default: "12"
default: "11"
type: string
cuda-minor-version:
description: 'CUDA minor version'
default: "4"
default: "7"
type: string
platforms:
description: 'Platforms'
@@ -215,7 +215,7 @@ jobs:
password: ${{ secrets.quayPassword }}
- name: Build and push
uses: docker/build-push-action@v6
uses: docker/build-push-action@v5
if: github.event_name != 'pull_request'
with:
builder: ${{ steps.buildx.outputs.name }}
@@ -232,7 +232,7 @@ jobs:
BASE_IMAGE=${{ inputs.base-image }}
GRPC_BASE_IMAGE=${{ inputs.grpc-base-image || inputs.base-image }}
GRPC_MAKEFLAGS=--jobs=4 --output-sync=target
GRPC_VERSION=v1.65.0
GRPC_VERSION=v1.64.0
MAKEFLAGS=${{ inputs.makeflags }}
context: .
file: ./Dockerfile
@@ -243,7 +243,7 @@ jobs:
labels: ${{ steps.meta.outputs.labels }}
### Start testing image
- name: Build and push
uses: docker/build-push-action@v6
uses: docker/build-push-action@v5
if: github.event_name == 'pull_request'
with:
builder: ${{ steps.buildx.outputs.name }}
@@ -260,7 +260,7 @@ jobs:
BASE_IMAGE=${{ inputs.base-image }}
GRPC_BASE_IMAGE=${{ inputs.grpc-base-image || inputs.base-image }}
GRPC_MAKEFLAGS=--jobs=4 --output-sync=target
GRPC_VERSION=v1.65.0
GRPC_VERSION=v1.64.0
MAKEFLAGS=${{ inputs.makeflags }}
context: .
file: ./Dockerfile
@@ -276,7 +276,7 @@ jobs:
## End testing image
- name: Build and push AIO image
if: inputs.aio != ''
uses: docker/build-push-action@v6
uses: docker/build-push-action@v5
with:
builder: ${{ steps.buildx.outputs.name }}
build-args: |
@@ -291,7 +291,7 @@ jobs:
- name: Build and push AIO image (dockerhub)
if: inputs.aio != ''
uses: docker/build-push-action@v6
uses: docker/build-push-action@v5
with:
builder: ${{ steps.buildx.outputs.name }}
build-args: |
@@ -324,7 +324,7 @@ jobs:
docker pull quay.io/go-skynet/local-ai:${{ steps.meta_aio.outputs.version }}
docker tag quay.io/go-skynet/local-ai:${{ steps.meta_aio.outputs.version }} quay.io/go-skynet/local-ai:${{ inputs.latest-image-aio }}
docker push quay.io/go-skynet/local-ai:${{ inputs.latest-image-aio }}
- name: job summary
run: |
echo "Built image: ${{ steps.meta.outputs.labels }}" >> $GITHUB_STEP_SUMMARY

View File

@@ -1,168 +0,0 @@
name: Notifications for new models
on:
pull_request:
types:
- closed
jobs:
notify-discord:
if: ${{ (github.event.pull_request.merged == true) && (contains(github.event.pull_request.labels.*.name, 'area/ai-model')) }}
env:
MODEL_NAME: hermes-2-theta-llama-3-8b
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0 # needed to checkout all branches for this Action to work
- uses: mudler/localai-github-action@v1
with:
model: 'hermes-2-theta-llama-3-8b' # Any from models.localai.io, or from huggingface.com with: "huggingface://<repository>/file"
# Check the PR diff using the current branch and the base branch of the PR
- uses: GrantBirki/git-diff-action@v2.7.0
id: git-diff-action
with:
json_diff_file_output: diff.json
raw_diff_file_output: diff.txt
file_output_only: "true"
- name: Summarize
env:
DIFF: ${{ steps.git-diff-action.outputs.raw-diff-path }}
id: summarize
run: |
input="$(cat $DIFF)"
# Define the LocalAI API endpoint
API_URL="http://localhost:8080/chat/completions"
# Create a JSON payload using jq to handle special characters
json_payload=$(jq -n --arg input "$input" '{
model: "'$MODEL_NAME'",
messages: [
{
role: "system",
content: "You are LocalAI-bot. Write a discord message to notify everyone about the new model from the git diff. Make it informal. An example can include: the URL of the model, the name, and a brief description of the model if exists. Also add an hint on how to install it in LocalAI and that can be browsed over https://models.localai.io. For example: local-ai run model_name_here"
},
{
role: "user",
content: $input
}
]
}')
# Send the request to LocalAI
response=$(curl -s -X POST $API_URL \
-H "Content-Type: application/json" \
-d "$json_payload")
# Extract the summary from the response
summary="$(echo $response | jq -r '.choices[0].message.content')"
# Print the summary
# -H "Authorization: Bearer $API_KEY" \
echo "Summary:"
echo "$summary"
echo "payload sent"
echo "$json_payload"
{
echo 'message<<EOF'
echo "$summary"
echo EOF
} >> "$GITHUB_OUTPUT"
docker logs --tail 10 local-ai
- name: Discord notification
env:
DISCORD_WEBHOOK: ${{ secrets.DISCORD_WEBHOOK_URL }}
DISCORD_USERNAME: "LocalAI-Bot"
DISCORD_AVATAR: "https://avatars.githubusercontent.com/u/139863280?v=4"
uses: Ilshidur/action-discord@master
with:
args: ${{ steps.summarize.outputs.message }}
- name: Setup tmate session if fails
if: ${{ failure() }}
uses: mxschmitt/action-tmate@v3.18
with:
detached: true
connect-timeout-seconds: 180
limit-access-to-actor: true
notify-twitter:
if: ${{ (github.event.pull_request.merged == true) && (contains(github.event.pull_request.labels.*.name, 'area/ai-model')) }}
env:
MODEL_NAME: hermes-2-theta-llama-3-8b
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0 # needed to checkout all branches for this Action to work
- name: Start LocalAI
run: |
echo "Starting LocalAI..."
docker run -e -ti -d --name local-ai -p 8080:8080 localai/localai:master-ffmpeg-core run --debug $MODEL_NAME
until [ "`docker inspect -f {{.State.Health.Status}} local-ai`" == "healthy" ]; do echo "Waiting for container to be ready"; docker logs --tail 10 local-ai; sleep 2; done
# Check the PR diff using the current branch and the base branch of the PR
- uses: GrantBirki/git-diff-action@v2.7.0
id: git-diff-action
with:
json_diff_file_output: diff.json
raw_diff_file_output: diff.txt
file_output_only: "true"
- name: Summarize
env:
DIFF: ${{ steps.git-diff-action.outputs.raw-diff-path }}
id: summarize
run: |
input="$(cat $DIFF)"
# Define the LocalAI API endpoint
API_URL="http://localhost:8080/chat/completions"
# Create a JSON payload using jq to handle special characters
json_payload=$(jq -n --arg input "$input" '{
model: "'$MODEL_NAME'",
messages: [
{
role: "system",
content: "You are LocalAI-bot. Write a twitter message to notify everyone about the new model from the git diff. Make it informal and really short. An example can include: the name, and a brief description of the model if exists. Also add an hint on how to install it in LocalAI. For example: local-ai run model_name_here"
},
{
role: "user",
content: $input
}
]
}')
# Send the request to LocalAI
response=$(curl -s -X POST $API_URL \
-H "Content-Type: application/json" \
-d "$json_payload")
# Extract the summary from the response
summary="$(echo $response | jq -r '.choices[0].message.content')"
# Print the summary
# -H "Authorization: Bearer $API_KEY" \
echo "Summary:"
echo "$summary"
echo "payload sent"
echo "$json_payload"
{
echo 'message<<EOF'
echo "$summary"
echo EOF
} >> "$GITHUB_OUTPUT"
docker logs --tail 10 local-ai
- uses: Eomm/why-don-t-you-tweet@v2
with:
tweet-message: ${{ steps.summarize.outputs.message }}
env:
# Get your tokens from https://developer.twitter.com/apps
TWITTER_CONSUMER_API_KEY: ${{ secrets.TWITTER_APP_KEY }}
TWITTER_CONSUMER_API_SECRET: ${{ secrets.TWITTER_APP_SECRET }}
TWITTER_ACCESS_TOKEN: ${{ secrets.TWITTER_ACCESS_TOKEN }}
TWITTER_ACCESS_TOKEN_SECRET: ${{ secrets.TWITTER_ACCESS_TOKEN_SECRET }}
- name: Setup tmate session if fails
if: ${{ failure() }}
uses: mxschmitt/action-tmate@v3.18
with:
detached: true
connect-timeout-seconds: 180
limit-access-to-actor: true

View File

@@ -1,63 +0,0 @@
name: Release notifications
on:
release:
types:
- published
jobs:
notify-discord:
runs-on: ubuntu-latest
env:
RELEASE_BODY: ${{ github.event.release.body }}
RELEASE_TITLE: ${{ github.event.release.name }}
RELEASE_TAG_NAME: ${{ github.event.release.tag_name }}
steps:
- uses: mudler/localai-github-action@v1
with:
model: 'hermes-2-theta-llama-3-8b' # Any from models.localai.io, or from huggingface.com with: "huggingface://<repository>/file"
- name: Summarize
id: summarize
run: |
input="$RELEASE_TITLE\b$RELEASE_BODY"
# Define the LocalAI API endpoint
API_URL="http://localhost:8080/chat/completions"
# Create a JSON payload using jq to handle special characters
json_payload=$(jq -n --arg input "$input" '{
model: "'$MODEL_NAME'",
messages: [
{
role: "system",
content: "Write a discord message with a bullet point summary of the release notes."
},
{
role: "user",
content: $input
}
]
}')
# Send the request to LocalAI API
response=$(curl -s -X POST $API_URL \
-H "Content-Type: application/json" \
-d "$json_payload")
# Extract the summary from the response
summary=$(echo $response | jq -r '.choices[0].message.content')
# Print the summary
# -H "Authorization: Bearer $API_KEY" \
{
echo 'message<<EOF'
echo "$summary"
echo EOF
} >> "$GITHUB_OUTPUT"
- name: Discord notification
env:
DISCORD_WEBHOOK: ${{ secrets.DISCORD_WEBHOOK_URL_RELEASE }}
DISCORD_USERNAME: "LocalAI-Bot"
DISCORD_AVATAR: "https://avatars.githubusercontent.com/u/139863280?v=4"
uses: Ilshidur/action-discord@master
with:
args: ${{ steps.summarize.outputs.message }}

View File

@@ -1,28 +0,0 @@
name: Check PR style
on:
pull_request_target:
types:
- opened
- reopened
- edited
- synchronize
jobs:
title-lint:
runs-on: ubuntu-latest
permissions:
statuses: write
steps:
- uses: aslafy-z/conventional-pr-title-action@v3
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
# check-pr-description:
# runs-on: ubuntu-latest
# steps:
# - uses: actions/checkout@v2
# - uses: jadrol/pr-description-checker-action@v1.0.0
# id: description-checker
# with:
# repo-token: ${{ secrets.GITHUB_TOKEN }}
# exempt-labels: no qa

View File

@@ -1,15 +1,11 @@
name: Build and Release
on:
push:
branches:
- master
tags:
- 'v*'
pull_request:
- push
- pull_request
env:
GRPC_VERSION: v1.65.0
GRPC_VERSION: v1.64.0
permissions:
contents: write
@@ -31,11 +27,12 @@ jobs:
with:
go-version: '1.21.x'
cache: false
- name: Dependencies
run: |
sudo apt-get update
sudo apt-get install build-essential ffmpeg protobuf-compiler ccache upx-ucl gawk
sudo apt-get install -qy binutils-aarch64-linux-gnu gcc-aarch64-linux-gnu g++-aarch64-linux-gnu libgmock-dev
sudo apt-get install build-essential ffmpeg protobuf-compiler ccache
sudo apt-get install -qy binutils-aarch64-linux-gnu gcc-aarch64-linux-gnu g++-aarch64-linux-gnu
- name: Install CUDA Dependencies
run: |
curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/cross-linux-aarch64/cuda-keyring_1.1-1_all.deb
@@ -55,8 +52,7 @@ jobs:
run: |
git clone --recurse-submodules -b ${{ env.GRPC_VERSION }} --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
cd grpc && sed -i "216i\ TESTONLY" "third_party/abseil-cpp/absl/container/CMakeLists.txt" && mkdir -p cmake/build && \
cd cmake/build && cmake -DgRPC_INSTALL=ON \
cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
-DgRPC_BUILD_TESTS=OFF \
../.. && sudo make --jobs 5 --output-sync=target
- name: Install gRPC
@@ -100,17 +96,11 @@ jobs:
CROSS_TOOLCHAIN=/usr/$GNU_HOST
CROSS_STAGING_PREFIX=$CROSS_TOOLCHAIN/stage
CMAKE_CROSS_TOOLCHAIN=/tmp/arm.toolchain.cmake
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
export PATH=$PATH:$GOPATH/bin
export PATH=/usr/local/cuda/bin:$PATH
sudo rm -rf /usr/aarch64-linux-gnu/lib/libstdc++.so.6
sudo cp -rf /usr/aarch64-linux-gnu/lib/libstdc++.so* /usr/aarch64-linux-gnu/lib/libstdc++.so.6
sudo cp /usr/aarch64-linux-gnu/lib/ld-linux-aarch64.so.1 ld.so
BACKEND_LIBS="./grpc/cmake/cross_build/third_party/re2/libre2.a ./grpc/cmake/cross_build/libgrpc.a ./grpc/cmake/cross_build/libgrpc++.a ./grpc/cmake/cross_build/third_party/protobuf/libprotobuf.a /usr/aarch64-linux-gnu/lib/libc.so.6 /usr/aarch64-linux-gnu/lib/libstdc++.so.6 /usr/aarch64-linux-gnu/lib/libgomp.so.1 /usr/aarch64-linux-gnu/lib/libm.so.6 /usr/aarch64-linux-gnu/lib/libgcc_s.so.1 /usr/aarch64-linux-gnu/lib/libdl.so.2 /usr/aarch64-linux-gnu/lib/libpthread.so.0 ./ld.so" \
GOOS=linux \
GOARCH=arm64 \
CMAKE_ARGS="-DProtobuf_INCLUDE_DIRS=$CROSS_STAGING_PREFIX/include -DProtobuf_DIR=$CROSS_STAGING_PREFIX/lib/cmake/protobuf -DgRPC_DIR=$CROSS_STAGING_PREFIX/lib/cmake/grpc -DCMAKE_TOOLCHAIN_FILE=$CMAKE_CROSS_TOOLCHAIN -DCMAKE_C_COMPILER=aarch64-linux-gnu-gcc -DCMAKE_CXX_COMPILER=aarch64-linux-gnu-g++" make dist-cross-linux-arm64
GO_TAGS=p2p GOOS=linux GOARCH=arm64 CMAKE_ARGS="-DProtobuf_INCLUDE_DIRS=$CROSS_STAGING_PREFIX/include -DProtobuf_DIR=$CROSS_STAGING_PREFIX/lib/cmake/protobuf -DgRPC_DIR=$CROSS_STAGING_PREFIX/lib/cmake/grpc -DCMAKE_TOOLCHAIN_FILE=$CMAKE_CROSS_TOOLCHAIN -DCMAKE_C_COMPILER=aarch64-linux-gnu-gcc -DCMAKE_CXX_COMPILER=aarch64-linux-gnu-g++" make dist-cross-linux-arm64
- uses: actions/upload-artifact@v4
with:
name: LocalAI-linux-arm64
@@ -121,13 +111,7 @@ jobs:
with:
files: |
release/*
- name: Setup tmate session if tests fail
if: ${{ failure() }}
uses: mxschmitt/action-tmate@v3.18
with:
detached: true
connect-timeout-seconds: 180
limit-access-to-actor: true
build-linux:
runs-on: arc-runner-set
steps:
@@ -150,7 +134,7 @@ jobs:
- name: Dependencies
run: |
sudo apt-get update
sudo apt-get install -y wget curl build-essential ffmpeg protobuf-compiler ccache upx-ucl gawk cmake libgmock-dev
sudo apt-get install -y wget curl build-essential ffmpeg protobuf-compiler ccache cmake
- name: Intel Dependencies
run: |
wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | sudo tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null
@@ -164,21 +148,21 @@ jobs:
sudo apt-get update
sudo apt-get install -y cuda-nvcc-${CUDA_VERSION} libcublas-dev-${CUDA_VERSION}
env:
CUDA_VERSION: 12-5
CUDA_VERSION: 12-3
- name: "Install Hipblas"
env:
ROCM_VERSION: "6.1"
AMDGPU_VERSION: "6.1"
run: |
set -ex
set -ex
sudo apt-get update
sudo DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends ca-certificates curl libnuma-dev gnupg
curl -sL https://repo.radeon.com/rocm/rocm.gpg.key | sudo apt-key add -
sudo DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends ca-certificates curl libnuma-dev gnupg
curl -sL https://repo.radeon.com/rocm/rocm.gpg.key | sudo apt-key add -
printf "deb [arch=amd64] https://repo.radeon.com/rocm/apt/$ROCM_VERSION/ jammy main" | sudo tee /etc/apt/sources.list.d/rocm.list
printf "deb [arch=amd64] https://repo.radeon.com/amdgpu/$AMDGPU_VERSION/ubuntu jammy main" | sudo tee /etc/apt/sources.list.d/amdgpu.list
printf 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
sudo apt-get update
@@ -186,10 +170,10 @@ jobs:
sudo DEBIAN_FRONTEND=noninteractive apt-get install -y \
hipblas-dev rocm-dev \
rocblas-dev
sudo apt-get clean
sudo rm -rf /var/lib/apt/lists/*
sudo ldconfig
sudo ldconfig
- name: Cache grpc
id: cache-grpc
uses: actions/cache@v4
@@ -200,26 +184,22 @@ jobs:
if: steps.cache-grpc.outputs.cache-hit != 'true'
run: |
git clone --recurse-submodules -b ${{ env.GRPC_VERSION }} --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
cd grpc && sed -i "216i\ TESTONLY" "third_party/abseil-cpp/absl/container/CMakeLists.txt" && mkdir -p cmake/build && \
cd cmake/build && cmake -DgRPC_INSTALL=ON \
cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
-DgRPC_BUILD_TESTS=OFF \
../.. && sudo make --jobs 5 --output-sync=target
- name: Install gRPC
run: |
cd grpc && cd cmake/build && sudo make --jobs 5 --output-sync=target install
# BACKEND_LIBS needed for gpu-workload: /opt/intel/oneapi/*/lib/libiomp5.so /opt/intel/oneapi/*/lib/libmkl_core.so /opt/intel/oneapi/*/lib/libmkl_core.so.2 /opt/intel/oneapi/*/lib/libmkl_intel_ilp64.so /opt/intel/oneapi/*/lib/libmkl_intel_ilp64.so.2 /opt/intel/oneapi/*/lib/libmkl_sycl_blas.so /opt/intel/oneapi/*/lib/libmkl_sycl_blas.so.4 /opt/intel/oneapi/*/lib/libmkl_tbb_thread.so /opt/intel/oneapi/*/lib/libmkl_tbb_thread.so.2 /opt/intel/oneapi/*/lib/libsycl.so /opt/intel/oneapi/*/lib/libsycl.so.7 /opt/intel/oneapi/*/lib/libsycl.so.7.1.0 /opt/rocm-*/lib/libamdhip64.so /opt/rocm-*/lib/libamdhip64.so.5 /opt/rocm-*/lib/libamdhip64.so.6 /opt/rocm-*/lib/libamdhip64.so.6.1.60100 /opt/rocm-*/lib/libhipblas.so /opt/rocm-*/lib/libhipblas.so.2 /opt/rocm-*/lib/libhipblas.so.2.1.60100 /opt/rocm-*/lib/librocblas.so /opt/rocm-*/lib/librocblas.so.4 /opt/rocm-*/lib/librocblas.so.4.1.60100 /usr/lib/x86_64-linux-gnu/libstdc++.so.6 /usr/lib/x86_64-linux-gnu/libOpenCL.so.1 /usr/lib/x86_64-linux-gnu/libOpenCL.so.1.0.0 /usr/lib/x86_64-linux-gnu/libm.so.6 /usr/lib/x86_64-linux-gnu/libgcc_s.so.1 /usr/lib/x86_64-linux-gnu/libc.so.6 /usr/lib/x86_64-linux-gnu/librt.so.1 /usr/local/cuda-*/targets/x86_64-linux/lib/libcublas.so /usr/local/cuda-*/targets/x86_64-linux/lib/libcublasLt.so /usr/local/cuda-*/targets/x86_64-linux/lib/libcudart.so /usr/local/cuda-*/targets/x86_64-linux/lib/stubs/libcuda.so
- name: Build
id: build
run: |
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
export PATH=$PATH:$GOPATH/bin
export PATH=/usr/local/cuda/bin:$PATH
export PATH=/opt/rocm/bin:$PATH
source /opt/intel/oneapi/setvars.sh
sudo cp /lib64/ld-linux-x86-64.so.2 ld.so
BACKEND_LIBS="./ld.so ./sources/go-piper/piper/build/fi/lib/libfmt.a ./sources/go-piper/piper-phonemize/pi/lib/libonnxruntime.so.1.14.1 ./sources/go-piper/piper-phonemize/pi/src/libespeak-ng/libespeak-ng.so /usr/lib/x86_64-linux-gnu/libdl.so.2 /usr/lib/x86_64-linux-gnu/librt.so.1 /usr/lib/x86_64-linux-gnu/libpthread.so.0 ./sources/go-piper/piper-phonemize/pi/lib/libpiper_phonemize.so.1 ./sources/go-piper/piper/build/si/lib/libspdlog.a ./sources/go-piper/espeak/ei/lib/libucd.so" \
make -j4 dist
GO_TAGS=p2p make -j4 dist
- uses: actions/upload-artifact@v4
with:
name: LocalAI-linux
@@ -230,13 +210,7 @@ jobs:
with:
files: |
release/*
- name: Setup tmate session if tests fail
if: ${{ failure() }}
uses: mxschmitt/action-tmate@v3.18
with:
detached: true
connect-timeout-seconds: 180
limit-access-to-actor: true
build-stablediffusion:
runs-on: ubuntu-latest
steps:
@@ -251,9 +225,9 @@ jobs:
- name: Dependencies
run: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends libopencv-dev protobuf-compiler ccache upx-ucl
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
sudo apt-get install -y --no-install-recommends libopencv-dev protobuf-compiler ccache
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
- name: Build stablediffusion
run: |
export PATH=$PATH:$GOPATH/bin
@@ -272,48 +246,6 @@ jobs:
files: |
release/*
build-macOS-x86_64:
runs-on: macos-13
steps:
- name: Clone
uses: actions/checkout@v4
with:
submodules: true
- uses: actions/setup-go@v5
with:
go-version: '1.21.x'
cache: false
- name: Dependencies
run: |
brew install protobuf grpc
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
- name: Build
id: build
run: |
export C_INCLUDE_PATH=/usr/local/include
export CPLUS_INCLUDE_PATH=/usr/local/include
export PATH=$PATH:$GOPATH/bin
make dist
- uses: actions/upload-artifact@v4
with:
name: LocalAI-MacOS-x86_64
path: release/
- name: Release
uses: softprops/action-gh-release@v2
if: startsWith(github.ref, 'refs/tags/')
with:
files: |
release/*
- name: Setup tmate session if tests fail
if: ${{ failure() }}
uses: mxschmitt/action-tmate@v3.18
with:
detached: true
connect-timeout-seconds: 180
limit-access-to-actor: true
build-macOS-arm64:
runs-on: macos-14
steps:
@@ -325,19 +257,22 @@ jobs:
with:
go-version: '1.21.x'
cache: false
- name: Setup tmate session if tests fail
uses: mxschmitt/action-tmate@v3.18
with:
limit-access-to-actor: true
- name: Dependencies
run: |
brew install protobuf grpc
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
- name: Build
id: build
run: |
export C_INCLUDE_PATH=/usr/local/include
export CPLUS_INCLUDE_PATH=/usr/local/include
export PATH=$PATH:$GOPATH/bin
make dist
GO_TAGS=p2p make dist
- uses: actions/upload-artifact@v4
with:
name: LocalAI-MacOS-arm64
@@ -348,10 +283,3 @@ jobs:
with:
files: |
release/*
- name: Setup tmate session if tests fail
if: ${{ failure() }}
uses: mxschmitt/action-tmate@v3.18
with:
detached: true
connect-timeout-seconds: 180
limit-access-to-actor: true

View File

@@ -19,7 +19,7 @@ jobs:
steps:
- name: Clone
uses: actions/checkout@v4
with:
with:
submodules: true
- name: Dependencies
run: |
@@ -29,8 +29,8 @@ jobs:
curl -LsSf https://astral.sh/uv/install.sh | sh
sudo apt-get install -y ca-certificates cmake curl patch python3-pip
sudo apt-get install -y libopencv-dev
pip install --user --no-cache-dir grpcio-tools==1.64.1
pip install --user grpcio-tools==1.64.0
- name: Test transformers
run: |
make --jobs=5 --output-sync=target -C backend/python/transformers
@@ -41,7 +41,7 @@ jobs:
steps:
- name: Clone
uses: actions/checkout@v4
with:
with:
submodules: true
- name: Dependencies
run: |
@@ -51,8 +51,8 @@ jobs:
curl -LsSf https://astral.sh/uv/install.sh | sh
sudo apt-get install -y ca-certificates cmake curl patch python3-pip
sudo apt-get install -y libopencv-dev
pip install --user --no-cache-dir grpcio-tools==1.64.1
pip install --user grpcio-tools==1.64.0
- name: Test sentencetransformers
run: |
make --jobs=5 --output-sync=target -C backend/python/sentencetransformers
@@ -64,7 +64,7 @@ jobs:
steps:
- name: Clone
uses: actions/checkout@v4
with:
with:
submodules: true
- name: Dependencies
run: |
@@ -74,7 +74,7 @@ jobs:
curl -LsSf https://astral.sh/uv/install.sh | sh
sudo apt-get install -y ca-certificates cmake curl patch python3-pip
sudo apt-get install -y libopencv-dev
pip install --user --no-cache-dir grpcio-tools==1.64.1
pip install --user grpcio-tools==1.64.0
- name: Test rerankers
run: |
@@ -86,7 +86,7 @@ jobs:
steps:
- name: Clone
uses: actions/checkout@v4
with:
with:
submodules: true
- name: Dependencies
run: |
@@ -96,7 +96,7 @@ jobs:
sudo apt-get install -y libopencv-dev
# Install UV
curl -LsSf https://astral.sh/uv/install.sh | sh
pip install --user --no-cache-dir grpcio-tools==1.64.1
pip install --user grpcio-tools==1.64.0
- name: Test diffusers
run: |
make --jobs=5 --output-sync=target -C backend/python/diffusers
@@ -107,7 +107,7 @@ jobs:
steps:
- name: Clone
uses: actions/checkout@v4
with:
with:
submodules: true
- name: Dependencies
run: |
@@ -117,19 +117,19 @@ jobs:
curl -LsSf https://astral.sh/uv/install.sh | sh
sudo apt-get install -y ca-certificates cmake curl patch python3-pip
sudo apt-get install -y libopencv-dev
pip install --user --no-cache-dir grpcio-tools==1.64.1
pip install --user grpcio-tools==1.64.0
- name: Test parler-tts
run: |
make --jobs=5 --output-sync=target -C backend/python/parler-tts
make --jobs=5 --output-sync=target -C backend/python/parler-tts test
tests-openvoice:
runs-on: ubuntu-latest
steps:
- name: Clone
uses: actions/checkout@v4
with:
with:
submodules: true
- name: Dependencies
run: |
@@ -139,7 +139,7 @@ jobs:
curl -LsSf https://astral.sh/uv/install.sh | sh
sudo apt-get install -y ca-certificates cmake curl patch python3-pip
sudo apt-get install -y libopencv-dev
pip install --user --no-cache-dir grpcio-tools==1.64.1
pip install --user grpcio-tools==1.64.0
- name: Test openvoice
run: |
@@ -151,7 +151,7 @@ jobs:
steps:
- name: Clone
uses: actions/checkout@v4
with:
with:
submodules: true
- name: Dependencies
run: |
@@ -161,13 +161,39 @@ jobs:
curl -LsSf https://astral.sh/uv/install.sh | sh
sudo apt-get install -y ca-certificates cmake curl patch python3-pip
sudo apt-get install -y libopencv-dev
pip install --user --no-cache-dir grpcio-tools==1.64.1
pip install --user grpcio-tools==1.64.0
- name: Test transformers-musicgen
run: |
make --jobs=5 --output-sync=target -C backend/python/transformers-musicgen
make --jobs=5 --output-sync=target -C backend/python/transformers-musicgen test
# tests-petals:
# runs-on: ubuntu-latest
# steps:
# - name: Clone
# uses: actions/checkout@v4
# with:
# submodules: true
# - name: Dependencies
# run: |
# sudo apt-get update
# sudo apt-get install build-essential ffmpeg
# # Install UV
# curl -LsSf https://astral.sh/uv/install.sh | sh
# sudo apt-get install -y ca-certificates cmake curl patch python3-pip
# sudo apt-get install -y libopencv-dev
# pip install --user grpcio-tools==1.64.0
# - name: Test petals
# run: |
# make --jobs=5 --output-sync=target -C backend/python/petals
# make --jobs=5 --output-sync=target -C backend/python/petals test
# tests-bark:
# runs-on: ubuntu-latest
# steps:
@@ -213,7 +239,7 @@ jobs:
# df -h
# - name: Clone
# uses: actions/checkout@v4
# with:
# with:
# submodules: true
# - name: Dependencies
# run: |
@@ -223,14 +249,14 @@ jobs:
# curl -LsSf https://astral.sh/uv/install.sh | sh
# sudo apt-get install -y ca-certificates cmake curl patch python3-pip
# sudo apt-get install -y libopencv-dev
# pip install --user --no-cache-dir grpcio-tools==1.64.1
# pip install --user grpcio-tools==1.64.0
# - name: Test bark
# run: |
# make --jobs=5 --output-sync=target -C backend/python/bark
# make --jobs=5 --output-sync=target -C backend/python/bark test
# Below tests needs GPU. Commented out for now
# TODO: Re-enable as soon as we have GPU nodes
# tests-vllm:
@@ -238,7 +264,7 @@ jobs:
# steps:
# - name: Clone
# uses: actions/checkout@v4
# with:
# with:
# submodules: true
# - name: Dependencies
# run: |
@@ -248,7 +274,7 @@ jobs:
# curl -LsSf https://astral.sh/uv/install.sh | sh
# sudo apt-get install -y ca-certificates cmake curl patch python3-pip
# sudo apt-get install -y libopencv-dev
# pip install --user --no-cache-dir grpcio-tools==1.64.1
# pip install --user grpcio-tools==1.64.0
# - name: Test vllm
# run: |
# make --jobs=5 --output-sync=target -C backend/python/vllm
@@ -258,7 +284,7 @@ jobs:
steps:
- name: Clone
uses: actions/checkout@v4
with:
with:
submodules: true
- name: Dependencies
run: |
@@ -268,7 +294,7 @@ jobs:
curl -LsSf https://astral.sh/uv/install.sh | sh
sudo apt-get install -y ca-certificates cmake curl patch python3-pip
sudo apt-get install -y libopencv-dev
pip install --user --no-cache-dir grpcio-tools==1.64.1
pip install --user grpcio-tools==1.64.0
- name: Test vall-e-x
run: |
make --jobs=5 --output-sync=target -C backend/python/vall-e-x
@@ -279,7 +305,7 @@ jobs:
steps:
- name: Clone
uses: actions/checkout@v4
with:
with:
submodules: true
- name: Dependencies
run: |
@@ -288,8 +314,8 @@ jobs:
sudo apt-get install -y ca-certificates cmake curl patch espeak espeak-ng python3-pip
# Install UV
curl -LsSf https://astral.sh/uv/install.sh | sh
pip install --user --no-cache-dir grpcio-tools==1.64.1
pip install --user grpcio-tools==1.64.0
- name: Test coqui
run: |
make --jobs=5 --output-sync=target -C backend/python/coqui
make --jobs=5 --output-sync=target -C backend/python/coqui test
make --jobs=5 --output-sync=target -C backend/python/coqui test

View File

@@ -10,7 +10,7 @@ on:
- '*'
env:
GRPC_VERSION: v1.65.0
GRPC_VERSION: v1.64.0
concurrency:
group: ci-tests-${{ github.head_ref || github.ref }}-${{ github.repository }}
@@ -70,8 +70,7 @@ jobs:
- name: Dependencies
run: |
sudo apt-get update
sudo apt-get install build-essential ccache upx-ucl curl ffmpeg
sudo apt-get install -y libgmock-dev
sudo apt-get install build-essential curl ffmpeg
curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
@@ -94,8 +93,8 @@ jobs:
sudo apt-get install -y cuda-nvcc-${CUDA_VERSION} libcublas-dev-${CUDA_VERSION}
export CUDACXX=/usr/local/cuda/bin/nvcc
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
# The python3-grpc-tools package in 22.04 is too old
pip install --user grpcio-tools
@@ -110,7 +109,7 @@ jobs:
# Pre-build stable diffusion before we install a newer version of abseil (not compatible with stablediffusion-ncn)
PATH="$PATH:/root/go/bin" GO_TAGS="stablediffusion tts" GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
env:
CUDA_VERSION: 12-4
CUDA_VERSION: 12-3
- name: Cache grpc
id: cache-grpc
uses: actions/cache@v4
@@ -121,8 +120,7 @@ jobs:
if: steps.cache-grpc.outputs.cache-hit != 'true'
run: |
git clone --recurse-submodules -b ${{ env.GRPC_VERSION }} --depth 1 --jobs 5 --shallow-submodules https://github.com/grpc/grpc && \
cd grpc && sed -i "216i\ TESTONLY" "third_party/abseil-cpp/absl/container/CMakeLists.txt" && mkdir -p cmake/build && cd cmake/build && \
cmake -DgRPC_INSTALL=ON \
cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
-DgRPC_BUILD_TESTS=OFF \
../.. && sudo make --jobs 5
- name: Install gRPC
@@ -215,14 +213,14 @@ jobs:
- name: Dependencies
run: |
brew install protobuf grpc make protoc-gen-go protoc-gen-go-grpc
pip install --user --no-cache-dir grpcio-tools==1.64.1
pip install --user grpcio-tools==1.64.0
- name: Test
run: |
export C_INCLUDE_PATH=/usr/local/include
export CPLUS_INCLUDE_PATH=/usr/local/include
# Used to run the newer GNUMake version from brew that supports --output-sync
export PATH="/opt/homebrew/opt/make/libexec/gnubin:$PATH"
BUILD_TYPE="GITHUB_CI_HAS_BROKEN_METAL" CMAKE_ARGS="-DGGML_F16C=OFF -DGGML_AVX512=OFF -DGGML_AVX2=OFF -DGGML_FMA=OFF" make --jobs 4 --output-sync=target test
BUILD_TYPE="GITHUB_CI_HAS_BROKEN_METAL" CMAKE_ARGS="-DLLAMA_F16C=OFF -DLLAMA_AVX512=OFF -DLLAMA_AVX2=OFF -DLLAMA_FMA=OFF" make --jobs 4 --output-sync=target test
- name: Setup tmate session if tests fail
if: ${{ failure() }}
uses: mxschmitt/action-tmate@v3.18

View File

@@ -13,17 +13,11 @@ jobs:
- uses: actions/setup-go@v5
with:
go-version: 'stable'
- name: Dependencies
run: |
sudo apt-get update
sudo apt-get install protobuf-compiler
- run: |
go install github.com/swaggo/swag/cmd/swag@latest
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
- name: Bump swagger 🔧
run: |
make protogen-go swagger
make swagger
- name: Create Pull Request
uses: peter-evans/create-pull-request@v6
with:

3
.gitignore vendored
View File

@@ -54,6 +54,3 @@ docs/static/gallery.html
# backend virtual environments
**/venv
# per-developer customization files for the development container
.devcontainer/customization/*

21
.vscode/launch.json vendored
View File

@@ -3,12 +3,12 @@
"configurations": [
{
"name": "Python: Current File",
"type": "debugpy",
"type": "python",
"request": "launch",
"program": "${file}",
"console": "integratedTerminal",
"justMyCode": false,
"cwd": "${fileDirname}",
"cwd": "${workspaceFolder}/examples/langchain-chroma",
"env": {
"OPENAI_API_BASE": "http://localhost:8080/v1",
"OPENAI_API_KEY": "abc"
@@ -19,16 +19,15 @@
"type": "go",
"request": "launch",
"mode": "debug",
"program": "${workspaceRoot}",
"args": [],
"program": "${workspaceFolder}/main.go",
"args": [
"api"
],
"env": {
"LOCALAI_LOG_LEVEL": "debug",
"LOCALAI_P2P": "true",
"LOCALAI_FEDERATED": "true"
},
"buildFlags": ["-tags", "stablediffusion p2p tts", "-v"],
"envFile": "${workspaceFolder}/.env",
"cwd": "${workspaceRoot}"
"C_INCLUDE_PATH": "${workspaceFolder}/go-llama:${workspaceFolder}/go-stable-diffusion/:${workspaceFolder}/gpt4all/gpt4all-bindings/golang/:${workspaceFolder}/go-gpt2:${workspaceFolder}/go-rwkv:${workspaceFolder}/whisper.cpp:${workspaceFolder}/go-bert:${workspaceFolder}/bloomz",
"LIBRARY_PATH": "${workspaceFolder}/go-llama:${workspaceFolder}/go-stable-diffusion/:${workspaceFolder}/gpt4all/gpt4all-bindings/golang/:${workspaceFolder}/go-gpt2:${workspaceFolder}/go-rwkv:${workspaceFolder}/whisper.cpp:${workspaceFolder}/go-bert:${workspaceFolder}/bloomz",
"DEBUG": "true"
}
}
]
}

View File

@@ -8,12 +8,12 @@ FROM ${BASE_IMAGE} AS requirements-core
USER root
ARG GO_VERSION=1.22.6
ARG GO_VERSION=1.22.4
ARG TARGETARCH
ARG TARGETVARIANT
ENV DEBIAN_FRONTEND=noninteractive
ENV EXTERNAL_GRPC_BACKENDS="coqui:/build/backend/python/coqui/run.sh,huggingface-embeddings:/build/backend/python/sentencetransformers/run.sh,transformers:/build/backend/python/transformers/run.sh,sentencetransformers:/build/backend/python/sentencetransformers/run.sh,rerankers:/build/backend/python/rerankers/run.sh,autogptq:/build/backend/python/autogptq/run.sh,bark:/build/backend/python/bark/run.sh,diffusers:/build/backend/python/diffusers/run.sh,exllama:/build/backend/python/exllama/run.sh,openvoice:/build/backend/python/openvoice/run.sh,vall-e-x:/build/backend/python/vall-e-x/run.sh,vllm:/build/backend/python/vllm/run.sh,mamba:/build/backend/python/mamba/run.sh,exllama2:/build/backend/python/exllama2/run.sh,transformers-musicgen:/build/backend/python/transformers-musicgen/run.sh,parler-tts:/build/backend/python/parler-tts/run.sh"
ENV EXTERNAL_GRPC_BACKENDS="coqui:/build/backend/python/coqui/run.sh,huggingface-embeddings:/build/backend/python/sentencetransformers/run.sh,petals:/build/backend/python/petals/run.sh,transformers:/build/backend/python/transformers/run.sh,sentencetransformers:/build/backend/python/sentencetransformers/run.sh,rerankers:/build/backend/python/rerankers/run.sh,autogptq:/build/backend/python/autogptq/run.sh,bark:/build/backend/python/bark/run.sh,diffusers:/build/backend/python/diffusers/run.sh,exllama:/build/backend/python/exllama/run.sh,openvoice:/build/backend/python/openvoice/run.sh,vall-e-x:/build/backend/python/vall-e-x/run.sh,vllm:/build/backend/python/vllm/run.sh,mamba:/build/backend/python/mamba/run.sh,exllama2:/build/backend/python/exllama2/run.sh,transformers-musicgen:/build/backend/python/transformers-musicgen/run.sh,parler-tts:/build/backend/python/parler-tts/run.sh"
RUN apt-get update && \
@@ -24,33 +24,30 @@ RUN apt-get update && \
cmake \
curl \
git \
unzip upx-ucl && \
unzip && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
# Install Go
RUN curl -L -s https://go.dev/dl/go${GO_VERSION}.linux-${TARGETARCH}.tar.gz | tar -C /usr/local -xz
ENV PATH=$PATH:/root/go/bin:/usr/local/go/bin
ENV PATH $PATH:/root/go/bin:/usr/local/go/bin
# Install grpc compilers
RUN go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2 && \
RUN go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.1 && \
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
COPY --chmod=644 custom-ca-certs/* /usr/local/share/ca-certificates/
RUN update-ca-certificates
RUN test -n "$TARGETARCH" \
|| (echo 'warn: missing $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`')
# Use the variables in subsequent instructions
RUN echo "Target Architecture: $TARGETARCH"
RUN echo "Target Variant: $TARGETVARIANT"
# Cuda
ENV PATH=/usr/local/cuda/bin:${PATH}
ENV PATH /usr/local/cuda/bin:${PATH}
# HipBLAS requirements
ENV PATH=/opt/rocm/bin:${PATH}
ENV PATH /opt/rocm/bin:${PATH}
# OpenBLAS requirements and stable diffusion
RUN apt-get update && \
@@ -65,6 +62,9 @@ RUN ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
WORKDIR /build
RUN test -n "$TARGETARCH" \
|| (echo 'warn: missing $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`')
###################################
###################################
@@ -81,7 +81,7 @@ RUN apt-get update && \
espeak \
python3-pip \
python-is-python3 \
python3-dev llvm \
python3-dev \
python3-venv && \
apt-get clean && \
rm -rf /var/lib/apt/lists/* && \
@@ -98,39 +98,43 @@ RUN pip install --user grpcio-tools
FROM requirements-${IMAGE_TYPE} AS requirements-drivers
ARG BUILD_TYPE
ARG CUDA_MAJOR_VERSION=12
ARG CUDA_MINOR_VERSION=0
ARG CUDA_MAJOR_VERSION=11
ARG CUDA_MINOR_VERSION=8
ENV BUILD_TYPE=${BUILD_TYPE}
# Vulkan requirements
RUN <<EOT bash
if [ "${BUILD_TYPE}" = "vulkan" ]; then
apt-get update && \
apt-get install -y --no-install-recommends \
software-properties-common pciutils wget gpg-agent && \
wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key add - && \
wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list && \
apt-get update && \
apt-get install -y \
vulkan-sdk && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
fi
EOT
# CuBLAS requirements
RUN <<EOT bash
if [ "${BUILD_TYPE}" = "cublas" ]; then
apt-get update && \
apt-get install -y --no-install-recommends \
software-properties-common pciutils
software-properties-common pciutils
if [ "amd64" = "$TARGETARCH" ]; then
curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
fi
fi
if [ "arm64" = "$TARGETARCH" ]; then
curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/arm64/cuda-keyring_1.1-1_all.deb
fi
dpkg -i cuda-keyring_1.1-1_all.deb && \
rm -f cuda-keyring_1.1-1_all.deb && \
apt-get update && \
apt-get install -y --no-install-recommends \
cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcufft-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
fi
EOT
RUN if [ "${BUILD_TYPE}" = "cublas" ]; then \
apt-get update && \
apt-get install -y --no-install-recommends \
software-properties-common pciutils && \
curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb && \
dpkg -i cuda-keyring_1.1-1_all.deb && \
rm -f cuda-keyring_1.1-1_all.deb && \
apt-get update && \
@@ -142,9 +146,8 @@ RUN <<EOT bash
libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
fi
EOT
rm -rf /var/lib/apt/lists/* \
; fi
# If we are building with clblas support, we need the libraries for the builds
RUN if [ "${BUILD_TYPE}" = "clblas" ]; then \
@@ -187,7 +190,7 @@ FROM ${GRPC_BASE_IMAGE} AS grpc
# This is a bit of a hack, but it's required in order to be able to effectively cache this layer in CI
ARG GRPC_MAKEFLAGS="-j4 -Otarget"
ARG GRPC_VERSION=v1.65.0
ARG GRPC_VERSION=v1.64.2
ENV MAKEFLAGS=${GRPC_MAKEFLAGS}
@@ -208,7 +211,6 @@ RUN apt-get update && \
RUN git clone --recurse-submodules --jobs 4 -b ${GRPC_VERSION} --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
mkdir -p /build/grpc/cmake/build && \
cd /build/grpc/cmake/build && \
sed -i "216i\ TESTONLY" "../../third_party/abseil-cpp/absl/container/CMakeLists.txt" && \
cmake -DgRPC_INSTALL=ON -DgRPC_BUILD_TESTS=OFF -DCMAKE_INSTALL_PREFIX:PATH=/opt/grpc ../.. && \
make && \
make install && \
@@ -217,14 +219,13 @@ RUN git clone --recurse-submodules --jobs 4 -b ${GRPC_VERSION} --depth 1 --shall
###################################
###################################
# The builder-base target has the arguments, variables, and copies shared between full builder images and the uncompiled devcontainer
FROM requirements-drivers AS builder-base
# The builder target compiles LocalAI. This target is not the target that will be uploaded to the registry.
# Adjustments to the build process should likely be made here.
FROM requirements-drivers AS builder
ARG GO_TAGS="stablediffusion tts p2p"
ARG GRPC_BACKENDS
ARG MAKEFLAGS
ARG LD_FLAGS="-s -w"
ENV GRPC_BACKENDS=${GRPC_BACKENDS}
ENV GO_TAGS=${GO_TAGS}
@@ -232,12 +233,14 @@ ENV MAKEFLAGS=${MAKEFLAGS}
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
ENV NVIDIA_VISIBLE_DEVICES=all
ENV LD_FLAGS=${LD_FLAGS}
RUN echo "GO_TAGS: $GO_TAGS" && echo "TARGETARCH: $TARGETARCH"
WORKDIR /build
COPY . .
COPY .git .
RUN echo "GO_TAGS: $GO_TAGS"
RUN make prepare
# We need protoc installed, and the version in 22.04 is too old. We will create one as part installing the GRPC build below
# but that will also being in a newer version of absl which stablediffusion cannot compile with. This version of protoc is only
@@ -255,37 +258,14 @@ RUN <<EOT bash
fi
EOT
###################################
###################################
# This first portion of builder holds the layers specifically used to build backend-assets/grpc/stablediffusion
# In most cases, builder is the image you should be using - however, this can save build time if one just needs to copy backend-assets/grpc/stablediffusion and nothing else.
FROM builder-base AS builder-sd
COPY . .
COPY .git .
RUN make prepare
# stablediffusion does not tolerate a newer version of abseil, build it first
RUN GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
###################################
###################################
# The builder target compiles LocalAI. This target is not the target that will be uploaded to the registry.
# Adjustments to the build process should likely be made here.
FROM builder-sd AS builder
# Install the pre-built GRPC
COPY --from=grpc /opt/grpc /usr/local
# Rebuild with defaults backends
WORKDIR /build
## Build the binary
RUN make build
RUN if [ ! -d "/build/sources/go-piper/piper-phonemize/pi/lib/" ]; then \
@@ -296,41 +276,6 @@ RUN if [ ! -d "/build/sources/go-piper/piper-phonemize/pi/lib/" ]; then \
###################################
###################################
# The devcontainer target is not used on CI. It is a target for developers to use locally -
# rather than copying files it mounts them locally and leaves building to the developer
FROM builder-base AS devcontainer
ARG FFMPEG
COPY --from=grpc /opt/grpc /usr/local
COPY --from=builder-sd /build/backend-assets/grpc/stablediffusion /build/backend-assets/grpc/stablediffusion
COPY .devcontainer-scripts /.devcontainer-scripts
# Add FFmpeg
RUN if [ "${FFMPEG}" = "true" ]; then \
apt-get update && \
apt-get install -y --no-install-recommends \
ffmpeg && \
apt-get clean && \
rm -rf /var/lib/apt/lists/* \
; fi
RUN apt-get update && \
apt-get install -y --no-install-recommends \
ssh less && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
RUN go install github.com/go-delve/delve/cmd/dlv@latest
RUN go install github.com/mikefarah/yq/v4@latest
###################################
###################################
# This is the final target. The result of this target will be the image uploaded to the registry.
# If you cannot find a more suitable place for an addition, this layer is a suitable place for it.
FROM requirements-drivers
@@ -347,7 +292,7 @@ ENV REBUILD=false
ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
ENV MAKEFLAGS=${MAKEFLAGS}
ARG CUDA_MAJOR_VERSION=12
ARG CUDA_MAJOR_VERSION=11
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
ENV NVIDIA_VISIBLE_DEVICES=all
@@ -381,7 +326,7 @@ COPY --from=builder /build/local-ai ./
COPY --from=builder /build/sources/go-piper/piper-phonemize/pi/lib/* /usr/lib/
# do not let stablediffusion rebuild (requires an older version of absl)
COPY --from=builder-sd /build/backend-assets/grpc/stablediffusion ./backend-assets/grpc/stablediffusion
COPY --from=builder /build/backend-assets/grpc/stablediffusion ./backend-assets/grpc/stablediffusion
# Change the shell to bash so we can use [[ tests below
SHELL ["/bin/bash", "-c"]
@@ -411,6 +356,9 @@ RUN if [[ ( "${EXTRA_BACKENDS}" =~ "vall-e-x" || -z "${EXTRA_BACKENDS}" ) && "$I
if [[ ( "${EXTRA_BACKENDS}" =~ "openvoice" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
make -C backend/python/openvoice \
; fi && \
if [[ ( "${EXTRA_BACKENDS}" =~ "petals" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
make -C backend/python/petals \
; fi && \
if [[ ( "${EXTRA_BACKENDS}" =~ "sentencetransformers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
make -C backend/python/sentencetransformers \
; fi && \

291
Makefile
View File

@@ -3,45 +3,39 @@ GOTEST=$(GOCMD) test
GOVET=$(GOCMD) vet
BINARY_NAME=local-ai
DETECT_LIBS?=true
# llama.cpp versions
GOLLAMA_REPO?=https://github.com/go-skynet/go-llama.cpp
GOLLAMA_VERSION?=2b57a8ae43e4699d3dc5d1496a1ccd42922993be
CPPLLAMA_VERSION?=fc54ef0d1c138133a01933296d50a36a1ab64735
GOLLAMA_STABLE_VERSION?=2b57a8ae43e4699d3dc5d1496a1ccd42922993be
CPPLLAMA_VERSION?=963552903f51043ee947a8deeaaa7ec00bc3f1a4
# gpt4all version
GPT4ALL_REPO?=https://github.com/nomic-ai/gpt4all
GPT4ALL_VERSION?=27a8b020c36b0df8f8b82a252d261cda47cf44b8
# go-rwkv version
RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
RWKV_VERSION?=661e7ae26d442f5cfebd2a0881b44e8c55949ec6
# whisper.cpp version
WHISPER_REPO?=https://github.com/ggerganov/whisper.cpp
WHISPER_CPP_VERSION?=9e3c5345cd46ea718209db53464e426c3fe7a25e
WHISPER_CPP_VERSION?=420b6abc54008ab634f5887dc45bd77122c2f320
# bert.cpp version
BERT_REPO?=https://github.com/go-skynet/go-bert.cpp
BERT_VERSION?=710044b124545415f555e4260d16b146c725a6e4
# go-piper version
PIPER_REPO?=https://github.com/mudler/go-piper
PIPER_VERSION?=9d0100873a7dbb0824dfea40e8cec70a1b110759
# stablediffusion version
STABLEDIFFUSION_REPO?=https://github.com/mudler/go-stable-diffusion
STABLEDIFFUSION_VERSION?=4a3cd6aeae6f66ee57eae9a0075f8c58c3a6a38f
# tinydream version
TINYDREAM_REPO?=https://github.com/M0Rf30/go-tiny-dream
TINYDREAM_VERSION?=c04fa463ace9d9a6464313aa5f9cd0f953b6c057
export BUILD_TYPE?=
export STABLE_BUILD_TYPE?=$(BUILD_TYPE)
export CMAKE_ARGS?=
export BACKEND_LIBS?=
CGO_LDFLAGS?=
CGO_LDFLAGS_WHISPER?=
CGO_LDFLAGS_WHISPER+=-lggml
CUDA_LIBPATH?=/usr/local/cuda/lib64/
GO_TAGS?=
BUILD_ID?=
@@ -54,13 +48,13 @@ RANDOM := $(shell bash -c 'echo $$RANDOM')
VERSION?=$(shell git describe --always --tags || echo "dev" )
# go tool nm ./local-ai | grep Commit
LD_FLAGS?=-s -w
override LD_FLAGS += -X "github.com/mudler/LocalAI/internal.Version=$(VERSION)"
override LD_FLAGS += -X "github.com/mudler/LocalAI/internal.Commit=$(shell git rev-parse HEAD)"
LD_FLAGS?=
override LD_FLAGS += -X "github.com/go-skynet/LocalAI/internal.Version=$(VERSION)"
override LD_FLAGS += -X "github.com/go-skynet/LocalAI/internal.Commit=$(shell git rev-parse HEAD)"
OPTIONAL_TARGETS?=
export OS := $(shell uname -s)
OS := $(shell uname -s)
ARCH := $(shell uname -m)
GREEN := $(shell tput -Txterm setaf 2)
YELLOW := $(shell tput -Txterm setaf 3)
@@ -68,14 +62,6 @@ WHITE := $(shell tput -Txterm setaf 7)
CYAN := $(shell tput -Txterm setaf 6)
RESET := $(shell tput -Txterm sgr0)
UPX?=
# check if upx exists
ifeq (, $(shell which upx))
UPX=
else
UPX=$(shell which upx)
endif
# Default Docker bridge IP
E2E_BRIDGE_IP?=172.17.0.1
@@ -94,42 +80,29 @@ ifeq ($(OS),Darwin)
BUILD_TYPE=metal
# disable metal if on Darwin and any other value is explicitly passed.
else ifneq ($(BUILD_TYPE),metal)
CMAKE_ARGS+=-DGGML_METAL=OFF
export GGML_NO_ACCELERATE=1
export GGML_NO_METAL=1
CMAKE_ARGS+=-DLLAMA_METAL=OFF
export LLAMA_NO_ACCELERATE=1
endif
ifeq ($(BUILD_TYPE),metal)
# -lcblas removed: it seems to always be listed as a duplicate flag.
CGO_LDFLAGS += -framework Accelerate
endif
else
CGO_LDFLAGS_WHISPER+=-lgomp
endif
ifeq ($(BUILD_TYPE),openblas)
CGO_LDFLAGS+=-lopenblas
export GGML_OPENBLAS=1
export WHISPER_OPENBLAS=1
endif
ifeq ($(BUILD_TYPE),cublas)
CGO_LDFLAGS+=-lcublas -lcudart -L$(CUDA_LIBPATH)
export GGML_CUDA=1
export LLAMA_CUBLAS=1
export WHISPER_CUDA=1
CGO_LDFLAGS_WHISPER+=-L$(CUDA_LIBPATH)/stubs/ -lcuda -lcufft
endif
ifeq ($(BUILD_TYPE),vulkan)
CMAKE_ARGS+=-DGGML_VULKAN=1
endif
ifneq (,$(findstring sycl,$(BUILD_TYPE)))
export GGML_SYCL=1
endif
ifeq ($(BUILD_TYPE),sycl_f16)
export GGML_SYCL_F16=1
endif
ifeq ($(BUILD_TYPE),hipblas)
ROCM_HOME ?= /opt/rocm
ROCM_PATH ?= /opt/rocm
@@ -138,26 +111,27 @@ ifeq ($(BUILD_TYPE),hipblas)
export CC=$(ROCM_HOME)/llvm/bin/clang
# llama-ggml has no hipblas support, so override it here.
export STABLE_BUILD_TYPE=
export GGML_HIPBLAS=1
export WHISPER_HIPBLAS=1
GPU_TARGETS ?= gfx900,gfx906,gfx908,gfx940,gfx941,gfx942,gfx90a,gfx1030,gfx1031,gfx1100,gfx1101
AMDGPU_TARGETS ?= "$(GPU_TARGETS)"
CMAKE_ARGS+=-DGGML_HIPBLAS=ON -DAMDGPU_TARGETS="$(AMDGPU_TARGETS)" -DGPU_TARGETS="$(GPU_TARGETS)"
CMAKE_ARGS+=-DLLAMA_HIPBLAS=ON -DAMDGPU_TARGETS="$(AMDGPU_TARGETS)" -DGPU_TARGETS="$(GPU_TARGETS)"
CGO_LDFLAGS += -O3 --rtlib=compiler-rt -unwindlib=libgcc -lhipblas -lrocblas --hip-link -L${ROCM_HOME}/lib/llvm/lib
endif
ifeq ($(BUILD_TYPE),metal)
CGO_LDFLAGS+=-framework Foundation -framework Metal -framework MetalKit -framework MetalPerformanceShaders
export GGML_METAL=1
export LLAMA_METAL=1
export WHISPER_METAL=1
endif
ifeq ($(BUILD_TYPE),clblas)
CGO_LDFLAGS+=-lOpenCL -lclblast
export GGML_OPENBLAS=1
export WHISPER_CLBLAST=1
endif
# glibc-static or glibc-devel-static required
ifeq ($(STATIC),true)
LD_FLAGS+=-linkmode external -extldflags -static
LD_FLAGS=-linkmode external -extldflags -static
endif
ifeq ($(findstring stablediffusion,$(GO_TAGS)),stablediffusion)
@@ -186,12 +160,11 @@ ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-fallback
ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-ggml
ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-grpc
ALL_GRPC_BACKENDS+=backend-assets/util/llama-cpp-rpc-server
ALL_GRPC_BACKENDS+=backend-assets/grpc/gpt4all
ALL_GRPC_BACKENDS+=backend-assets/grpc/rwkv
ALL_GRPC_BACKENDS+=backend-assets/grpc/whisper
ALL_GRPC_BACKENDS+=backend-assets/grpc/local-store
ALL_GRPC_BACKENDS+=$(OPTIONAL_GRPC)
# Use filter-out to remove the specified backends
ALL_GRPC_BACKENDS := $(filter-out $(SKIP_GRPC_BACKEND),$(ALL_GRPC_BACKENDS))
GRPC_BACKENDS?=$(ALL_GRPC_BACKENDS) $(OPTIONAL_GRPC)
TEST_PATHS?=./api/... ./pkg/... ./core/...
@@ -211,97 +184,69 @@ all: help
## BERT embeddings
sources/go-bert.cpp:
mkdir -p sources/go-bert.cpp
cd sources/go-bert.cpp && \
git init && \
git remote add origin $(BERT_REPO) && \
git fetch origin && \
git checkout $(BERT_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
git clone --recurse-submodules https://github.com/go-skynet/go-bert.cpp sources/go-bert.cpp
cd sources/go-bert.cpp && git checkout -b build $(BERT_VERSION) && git submodule update --init --recursive --depth 1
sources/go-bert.cpp/libgobert.a: sources/go-bert.cpp
$(MAKE) -C sources/go-bert.cpp libgobert.a
## go-llama.cpp
sources/go-llama.cpp:
mkdir -p sources/go-llama.cpp
cd sources/go-llama.cpp && \
git init && \
git remote add origin $(GOLLAMA_REPO) && \
git fetch origin && \
git checkout $(GOLLAMA_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
git clone --recurse-submodules https://github.com/go-skynet/go-llama.cpp sources/go-llama.cpp
cd sources/go-llama.cpp && git checkout -b build $(GOLLAMA_STABLE_VERSION) && git submodule update --init --recursive --depth 1
sources/go-llama.cpp/libbinding.a: sources/go-llama.cpp
$(MAKE) -C sources/go-llama.cpp BUILD_TYPE=$(STABLE_BUILD_TYPE) libbinding.a
## go-piper
sources/go-piper:
mkdir -p sources/go-piper
cd sources/go-piper && \
git init && \
git remote add origin $(PIPER_REPO) && \
git fetch origin && \
git checkout $(PIPER_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
git clone --recurse-submodules https://github.com/mudler/go-piper sources/go-piper
cd sources/go-piper && git checkout -b build $(PIPER_VERSION) && git submodule update --init --recursive --depth 1
sources/go-piper/libpiper_binding.a: sources/go-piper
$(MAKE) -C sources/go-piper libpiper_binding.a example/main piper.o
## GPT4ALL
sources/gpt4all:
git clone --recurse-submodules $(GPT4ALL_REPO) sources/gpt4all
cd sources/gpt4all && git checkout -b build $(GPT4ALL_VERSION) && git submodule update --init --recursive --depth 1
sources/gpt4all/gpt4all-bindings/golang/libgpt4all.a: sources/gpt4all
$(MAKE) -C sources/gpt4all/gpt4all-bindings/golang/ libgpt4all.a
## RWKV
sources/go-rwkv.cpp:
mkdir -p sources/go-rwkv.cpp
cd sources/go-rwkv.cpp && \
git init && \
git remote add origin $(RWKV_REPO) && \
git fetch origin && \
git checkout $(RWKV_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
git clone --recurse-submodules $(RWKV_REPO) sources/go-rwkv.cpp
cd sources/go-rwkv.cpp && git checkout -b build $(RWKV_VERSION) && git submodule update --init --recursive --depth 1
sources/go-rwkv.cpp/librwkv.a: sources/go-rwkv.cpp
cd sources/go-rwkv.cpp && cd rwkv.cpp && cmake . -DRWKV_BUILD_SHARED_LIBRARY=OFF && cmake --build . && cp librwkv.a ..
## stable diffusion
sources/go-stable-diffusion:
mkdir -p sources/go-stable-diffusion
cd sources/go-stable-diffusion && \
git init && \
git remote add origin $(STABLEDIFFUSION_REPO) && \
git fetch origin && \
git checkout $(STABLEDIFFUSION_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
git clone --recurse-submodules https://github.com/mudler/go-stable-diffusion sources/go-stable-diffusion
cd sources/go-stable-diffusion && git checkout -b build $(STABLEDIFFUSION_VERSION) && git submodule update --init --recursive --depth 1
sources/go-stable-diffusion/libstablediffusion.a: sources/go-stable-diffusion
CPATH="$(CPATH):/usr/include/opencv4" $(MAKE) -C sources/go-stable-diffusion libstablediffusion.a
## tiny-dream
sources/go-tiny-dream:
mkdir -p sources/go-tiny-dream
cd sources/go-tiny-dream && \
git init && \
git remote add origin $(TINYDREAM_REPO) && \
git fetch origin && \
git checkout $(TINYDREAM_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
git clone --recurse-submodules https://github.com/M0Rf30/go-tiny-dream sources/go-tiny-dream
cd sources/go-tiny-dream && git checkout -b build $(TINYDREAM_VERSION) && git submodule update --init --recursive --depth 1
sources/go-tiny-dream/libtinydream.a: sources/go-tiny-dream
$(MAKE) -C sources/go-tiny-dream libtinydream.a
## whisper
sources/whisper.cpp:
mkdir -p sources/whisper.cpp
cd sources/whisper.cpp && \
git init && \
git remote add origin $(WHISPER_REPO) && \
git fetch origin && \
git checkout $(WHISPER_CPP_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
git clone https://github.com/ggerganov/whisper.cpp sources/whisper.cpp
cd sources/whisper.cpp && git checkout -b build $(WHISPER_CPP_VERSION) && git submodule update --init --recursive --depth 1
sources/whisper.cpp/libwhisper.a: sources/whisper.cpp
cd sources/whisper.cpp && $(MAKE) libwhisper.a libggml.a
cd sources/whisper.cpp && $(MAKE) libwhisper.a
get-sources: sources/go-llama.cpp sources/go-piper sources/go-rwkv.cpp sources/whisper.cpp sources/go-bert.cpp sources/go-stable-diffusion sources/go-tiny-dream backend/cpp/llama/llama.cpp
get-sources: sources/go-llama.cpp sources/gpt4all sources/go-piper sources/go-rwkv.cpp sources/whisper.cpp sources/go-bert.cpp sources/go-stable-diffusion sources/go-tiny-dream
replace:
$(GOCMD) mod edit -replace github.com/donomii/go-rwkv.cpp=$(CURDIR)/sources/go-rwkv.cpp
@@ -311,6 +256,7 @@ replace:
$(GOCMD) mod edit -replace github.com/M0Rf30/go-tiny-dream=$(CURDIR)/sources/go-tiny-dream
$(GOCMD) mod edit -replace github.com/mudler/go-piper=$(CURDIR)/sources/go-piper
$(GOCMD) mod edit -replace github.com/mudler/go-stable-diffusion=$(CURDIR)/sources/go-stable-diffusion
$(GOCMD) mod edit -replace github.com/nomic-ai/gpt4all/gpt4all-bindings/golang=$(CURDIR)/sources/gpt4all/gpt4all-bindings/golang
$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(CURDIR)/sources/go-llama.cpp
dropreplace:
@@ -321,6 +267,7 @@ dropreplace:
$(GOCMD) mod edit -dropreplace github.com/M0Rf30/go-tiny-dream
$(GOCMD) mod edit -dropreplace github.com/mudler/go-piper
$(GOCMD) mod edit -dropreplace github.com/mudler/go-stable-diffusion
$(GOCMD) mod edit -dropreplace github.com/nomic-ai/gpt4all/gpt4all-bindings/golang
$(GOCMD) mod edit -dropreplace github.com/go-skynet/go-llama.cpp
prepare-sources: get-sources replace
@@ -330,6 +277,7 @@ prepare-sources: get-sources replace
rebuild: ## Rebuilds the project
$(GOCMD) clean -cache
$(MAKE) -C sources/go-llama.cpp clean
$(MAKE) -C sources/gpt4all/gpt4all-bindings/golang/ clean
$(MAKE) -C sources/go-rwkv.cpp clean
$(MAKE) -C sources/whisper.cpp clean
$(MAKE) -C sources/go-stable-diffusion clean
@@ -365,40 +313,25 @@ build: prepare backend-assets grpcs ## Build the project
$(info ${GREEN}I BUILD_TYPE: ${YELLOW}$(BUILD_TYPE)${RESET})
$(info ${GREEN}I GO_TAGS: ${YELLOW}$(GO_TAGS)${RESET})
$(info ${GREEN}I LD_FLAGS: ${YELLOW}$(LD_FLAGS)${RESET})
$(info ${GREEN}I UPX: ${YELLOW}$(UPX)${RESET})
ifneq ($(BACKEND_LIBS),)
$(MAKE) backend-assets/lib
cp -f $(BACKEND_LIBS) backend-assets/lib/
endif
CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o $(BINARY_NAME) ./
build-minimal:
BUILD_GRPC_FOR_BACKEND_LLAMA=true GRPC_BACKENDS="backend-assets/grpc/llama-cpp-avx2" GO_TAGS=p2p $(MAKE) build
BUILD_GRPC_FOR_BACKEND_LLAMA=true GRPC_BACKENDS="backend-assets/grpc/llama-cpp-avx2" GO_TAGS=none $(MAKE) build
build-api:
BUILD_GRPC_FOR_BACKEND_LLAMA=true BUILD_API_ONLY=true GO_TAGS=p2p $(MAKE) build
backend-assets/lib:
mkdir -p backend-assets/lib
BUILD_GRPC_FOR_BACKEND_LLAMA=true BUILD_API_ONLY=true GO_TAGS=none $(MAKE) build
dist:
$(MAKE) backend-assets/grpc/llama-cpp-avx2
ifeq ($(DETECT_LIBS),true)
scripts/prepare-libs.sh backend-assets/grpc/llama-cpp-avx2
endif
STATIC=true $(MAKE) backend-assets/grpc/llama-cpp-avx2
ifeq ($(OS),Darwin)
BUILD_TYPE=none $(MAKE) backend-assets/grpc/llama-cpp-fallback
$(info ${GREEN}I Skip CUDA/hipblas build on MacOS${RESET})
else
$(MAKE) backend-assets/grpc/llama-cpp-cuda
$(MAKE) backend-assets/grpc/llama-cpp-hipblas
$(MAKE) backend-assets/grpc/llama-cpp-sycl_f16
$(MAKE) backend-assets/grpc/llama-cpp-sycl_f32
endif
GO_TAGS="tts p2p" $(MAKE) build
ifeq ($(DETECT_LIBS),true)
scripts/prepare-libs.sh backend-assets/grpc/piper
endif
GO_TAGS="tts p2p" STATIC=true $(MAKE) build
$(MAKE) build
mkdir -p release
# if BUILD_ID is empty, then we don't append it to the binary name
ifeq ($(BUILD_ID),)
@@ -409,9 +342,9 @@ else
shasum -a 256 release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-$(ARCH) > release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-$(ARCH).sha256
endif
dist-cross-linux-arm64:
CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_NATIVE=off" GRPC_BACKENDS="backend-assets/grpc/llama-cpp-fallback backend-assets/grpc/llama-cpp-grpc backend-assets/util/llama-cpp-rpc-server" GO_TAGS="p2p" \
STATIC=true $(MAKE) build
dist-cross-linux-arm64:
CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_NATIVE=off" GRPC_BACKENDS="backend-assets/grpc/llama-cpp-fallback backend-assets/grpc/llama-cpp-grpc backend-assets/util/llama-cpp-rpc-server" \
$(MAKE) build
mkdir -p release
# if BUILD_ID is empty, then we don't append it to the binary name
ifeq ($(BUILD_ID),)
@@ -449,7 +382,8 @@ test: prepare test-models/testmodel.ggml grpcs
export GO_TAGS="tts stablediffusion debug"
$(MAKE) prepare-test
HUGGINGFACE_GRPC=$(abspath ./)/backend/python/sentencetransformers/run.sh TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="!llama && !llama-gguf" --flake-attempts $(TEST_FLAKES) --fail-fast -v -r $(TEST_PATHS)
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="!gpt4all && !llama && !llama-gguf" --flake-attempts $(TEST_FLAKES) --fail-fast -v -r $(TEST_PATHS)
$(MAKE) test-gpt4all
$(MAKE) test-llama
$(MAKE) test-llama-gguf
$(MAKE) test-tts
@@ -459,7 +393,7 @@ prepare-e2e:
mkdir -p $(TEST_DIR)
cp -rfv $(abspath ./tests/e2e-fixtures)/gpu.yaml $(TEST_DIR)/gpu.yaml
test -e $(TEST_DIR)/ggllm-test-model.bin || wget -q https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-GGUF/resolve/main/codellama-7b-instruct.Q2_K.gguf -O $(TEST_DIR)/ggllm-test-model.bin
docker build --build-arg GRPC_BACKENDS="$(GRPC_BACKENDS)" --build-arg IMAGE_TYPE=core --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg CUDA_MAJOR_VERSION=12 --build-arg CUDA_MINOR_VERSION=0 --build-arg FFMPEG=true -t localai-tests .
docker build --build-arg GRPC_BACKENDS="$(GRPC_BACKENDS)" --build-arg IMAGE_TYPE=core --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg CUDA_MAJOR_VERSION=11 --build-arg CUDA_MINOR_VERSION=7 --build-arg FFMPEG=true -t localai-tests .
run-e2e-image:
ls -liah $(abspath ./tests/e2e-fixtures)
@@ -479,6 +413,10 @@ teardown-e2e:
rm -rf $(TEST_DIR) || true
docker stop $$(docker ps -q --filter ancestor=localai-tests)
test-gpt4all: prepare-test
TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="gpt4all" --flake-attempts 5 -v -r $(TEST_PATHS)
test-llama: prepare-test
TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="llama" --flake-attempts 5 -v -r $(TEST_PATHS)
@@ -534,10 +472,10 @@ protogen-go-clean:
$(RM) bin/*
.PHONY: protogen-python
protogen-python: autogptq-protogen bark-protogen coqui-protogen diffusers-protogen exllama-protogen exllama2-protogen mamba-protogen rerankers-protogen sentencetransformers-protogen transformers-protogen parler-tts-protogen transformers-musicgen-protogen vall-e-x-protogen vllm-protogen openvoice-protogen
protogen-python: autogptq-protogen bark-protogen coqui-protogen diffusers-protogen exllama-protogen exllama2-protogen mamba-protogen petals-protogen rerankers-protogen sentencetransformers-protogen transformers-protogen parler-tts-protogen transformers-musicgen-protogen vall-e-x-protogen vllm-protogen openvoice-protogen
.PHONY: protogen-python-clean
protogen-python-clean: autogptq-protogen-clean bark-protogen-clean coqui-protogen-clean diffusers-protogen-clean exllama-protogen-clean exllama2-protogen-clean mamba-protogen-clean sentencetransformers-protogen-clean rerankers-protogen-clean transformers-protogen-clean transformers-musicgen-protogen-clean parler-tts-protogen-clean vall-e-x-protogen-clean vllm-protogen-clean openvoice-protogen-clean
protogen-python-clean: autogptq-protogen-clean bark-protogen-clean coqui-protogen-clean diffusers-protogen-clean exllama-protogen-clean exllama2-protogen-clean mamba-protogen-clean petals-protogen-clean sentencetransformers-protogen-clean rerankers-protogen-clean transformers-protogen-clean transformers-musicgen-protogen-clean parler-tts-protogen-clean vall-e-x-protogen-clean vllm-protogen-clean openvoice-protogen-clean
.PHONY: autogptq-protogen
autogptq-protogen:
@@ -595,6 +533,14 @@ mamba-protogen:
mamba-protogen-clean:
$(MAKE) -C backend/python/mamba protogen-clean
.PHONY: petals-protogen
petals-protogen:
$(MAKE) -C backend/python/petals protogen
.PHONY: petals-protogen-clean
petals-protogen-clean:
$(MAKE) -C backend/python/petals protogen-clean
.PHONY: rerankers-protogen
rerankers-protogen:
$(MAKE) -C backend/python/rerankers protogen
@@ -676,6 +622,7 @@ prepare-extra-conda-environments: protogen-python
$(MAKE) -C backend/python/vall-e-x
$(MAKE) -C backend/python/openvoice
$(MAKE) -C backend/python/exllama
$(MAKE) -C backend/python/petals
$(MAKE) -C backend/python/exllama2
prepare-test-extra: protogen-python
@@ -696,21 +643,25 @@ backend-assets/espeak-ng-data: sources/go-piper sources/go-piper/libpiper_bindin
mkdir -p backend-assets/espeak-ng-data
@cp -rf sources/go-piper/piper-phonemize/pi/share/espeak-ng-data/. backend-assets/espeak-ng-data
backend-assets/gpt4all: sources/gpt4all sources/gpt4all/gpt4all-bindings/golang/libgpt4all.a
mkdir -p backend-assets/gpt4all
@cp sources/gpt4all/gpt4all-bindings/golang/buildllm/*.so backend-assets/gpt4all/ || true
@cp sources/gpt4all/gpt4all-bindings/golang/buildllm/*.dylib backend-assets/gpt4all/ || true
@cp sources/gpt4all/gpt4all-bindings/golang/buildllm/*.dll backend-assets/gpt4all/ || true
backend-assets/grpc: protogen-go replace
mkdir -p backend-assets/grpc
backend-assets/grpc/bert-embeddings: sources/go-bert.cpp sources/go-bert.cpp/libgobert.a backend-assets/grpc
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/go-bert.cpp LIBRARY_PATH=$(CURDIR)/sources/go-bert.cpp \
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/bert-embeddings ./backend/go/llm/bert/
ifneq ($(UPX),)
$(UPX) backend-assets/grpc/bert-embeddings
endif
backend-assets/grpc/gpt4all: sources/gpt4all sources/gpt4all/gpt4all-bindings/golang/libgpt4all.a backend-assets/gpt4all backend-assets/grpc
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/gpt4all/gpt4all-bindings/golang/ LIBRARY_PATH=$(CURDIR)/sources/gpt4all/gpt4all-bindings/golang/ \
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/gpt4all ./backend/go/llm/gpt4all/
backend-assets/grpc/huggingface: backend-assets/grpc
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/huggingface ./backend/go/llm/langchain/
ifneq ($(UPX),)
$(UPX) backend-assets/grpc/huggingface
endif
backend/cpp/llama/llama.cpp:
LLAMA_VERSION=$(CPPLLAMA_VERSION) $(MAKE) -C backend/cpp/llama llama.cpp
@@ -738,71 +689,71 @@ else
endif
# This target is for manually building a variant with-auto detected flags
backend-assets/grpc/llama-cpp: backend-assets/grpc backend/cpp/llama/llama.cpp
backend-assets/grpc/llama-cpp: backend-assets/grpc
cp -rf backend/cpp/llama backend/cpp/llama-cpp
$(MAKE) -C backend/cpp/llama-cpp purge
$(info ${GREEN}I llama-cpp build info:avx2${RESET})
$(MAKE) VARIANT="llama-cpp" build-llama-cpp-grpc-server
cp -rfv backend/cpp/llama-cpp/grpc-server backend-assets/grpc/llama-cpp
backend-assets/grpc/llama-cpp-avx2: backend-assets/grpc backend/cpp/llama/llama.cpp
backend-assets/grpc/llama-cpp-avx2: backend-assets/grpc
cp -rf backend/cpp/llama backend/cpp/llama-avx2
$(MAKE) -C backend/cpp/llama-avx2 purge
$(info ${GREEN}I llama-cpp build info:avx2${RESET})
CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=off -DGGML_FMA=on -DGGML_F16C=on" $(MAKE) VARIANT="llama-avx2" build-llama-cpp-grpc-server
CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_AVX=on -DLLAMA_AVX2=on -DLLAMA_AVX512=off -DLLAMA_FMA=on -DLLAMA_F16C=on" $(MAKE) VARIANT="llama-avx2" build-llama-cpp-grpc-server
cp -rfv backend/cpp/llama-avx2/grpc-server backend-assets/grpc/llama-cpp-avx2
backend-assets/grpc/llama-cpp-avx: backend-assets/grpc backend/cpp/llama/llama.cpp
backend-assets/grpc/llama-cpp-avx: backend-assets/grpc
cp -rf backend/cpp/llama backend/cpp/llama-avx
$(MAKE) -C backend/cpp/llama-avx purge
$(info ${GREEN}I llama-cpp build info:avx${RESET})
CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off" $(MAKE) VARIANT="llama-avx" build-llama-cpp-grpc-server
CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off" $(MAKE) VARIANT="llama-avx" build-llama-cpp-grpc-server
cp -rfv backend/cpp/llama-avx/grpc-server backend-assets/grpc/llama-cpp-avx
backend-assets/grpc/llama-cpp-fallback: backend-assets/grpc backend/cpp/llama/llama.cpp
backend-assets/grpc/llama-cpp-fallback: backend-assets/grpc
cp -rf backend/cpp/llama backend/cpp/llama-fallback
$(MAKE) -C backend/cpp/llama-fallback purge
$(info ${GREEN}I llama-cpp build info:fallback${RESET})
CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off" $(MAKE) VARIANT="llama-fallback" build-llama-cpp-grpc-server
CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off" $(MAKE) VARIANT="llama-fallback" build-llama-cpp-grpc-server
cp -rfv backend/cpp/llama-fallback/grpc-server backend-assets/grpc/llama-cpp-fallback
# TODO: every binary should have its own folder instead, so can have different metal implementations
ifeq ($(BUILD_TYPE),metal)
cp backend/cpp/llama-fallback/llama.cpp/build/bin/default.metallib backend-assets/grpc/
endif
backend-assets/grpc/llama-cpp-cuda: backend-assets/grpc backend/cpp/llama/llama.cpp
backend-assets/grpc/llama-cpp-cuda: backend-assets/grpc
cp -rf backend/cpp/llama backend/cpp/llama-cuda
$(MAKE) -C backend/cpp/llama-cuda purge
$(info ${GREEN}I llama-cpp build info:cuda${RESET})
CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_CUDA=ON" $(MAKE) VARIANT="llama-cuda" build-llama-cpp-grpc-server
CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off -DLLAMA_CUDA=ON" $(MAKE) VARIANT="llama-cuda" build-llama-cpp-grpc-server
cp -rfv backend/cpp/llama-cuda/grpc-server backend-assets/grpc/llama-cpp-cuda
backend-assets/grpc/llama-cpp-hipblas: backend-assets/grpc backend/cpp/llama/llama.cpp
backend-assets/grpc/llama-cpp-hipblas: backend-assets/grpc
cp -rf backend/cpp/llama backend/cpp/llama-hipblas
$(MAKE) -C backend/cpp/llama-hipblas purge
$(info ${GREEN}I llama-cpp build info:hipblas${RESET})
BUILD_TYPE="hipblas" $(MAKE) VARIANT="llama-hipblas" build-llama-cpp-grpc-server
cp -rfv backend/cpp/llama-hipblas/grpc-server backend-assets/grpc/llama-cpp-hipblas
backend-assets/grpc/llama-cpp-sycl_f16: backend-assets/grpc backend/cpp/llama/llama.cpp
backend-assets/grpc/llama-cpp-sycl_f16: backend-assets/grpc
cp -rf backend/cpp/llama backend/cpp/llama-sycl_f16
$(MAKE) -C backend/cpp/llama-sycl_f16 purge
$(info ${GREEN}I llama-cpp build info:sycl_f16${RESET})
BUILD_TYPE="sycl_f16" $(MAKE) VARIANT="llama-sycl_f16" build-llama-cpp-grpc-server
cp -rfv backend/cpp/llama-sycl_f16/grpc-server backend-assets/grpc/llama-cpp-sycl_f16
backend-assets/grpc/llama-cpp-sycl_f32: backend-assets/grpc backend/cpp/llama/llama.cpp
backend-assets/grpc/llama-cpp-sycl_f32: backend-assets/grpc
cp -rf backend/cpp/llama backend/cpp/llama-sycl_f32
$(MAKE) -C backend/cpp/llama-sycl_f32 purge
$(info ${GREEN}I llama-cpp build info:sycl_f32${RESET})
BUILD_TYPE="sycl_f32" $(MAKE) VARIANT="llama-sycl_f32" build-llama-cpp-grpc-server
cp -rfv backend/cpp/llama-sycl_f32/grpc-server backend-assets/grpc/llama-cpp-sycl_f32
backend-assets/grpc/llama-cpp-grpc: backend-assets/grpc backend/cpp/llama/llama.cpp
backend-assets/grpc/llama-cpp-grpc: backend-assets/grpc
cp -rf backend/cpp/llama backend/cpp/llama-grpc
$(MAKE) -C backend/cpp/llama-grpc purge
$(info ${GREEN}I llama-cpp build info:grpc${RESET})
CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_RPC=ON -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off" TARGET="--target grpc-server --target rpc-server" $(MAKE) VARIANT="llama-grpc" build-llama-cpp-grpc-server
CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_RPC=ON -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off" $(MAKE) VARIANT="llama-grpc" build-llama-cpp-grpc-server
cp -rfv backend/cpp/llama-grpc/grpc-server backend-assets/grpc/llama-cpp-grpc
backend-assets/util/llama-cpp-rpc-server: backend-assets/grpc/llama-cpp-grpc
@@ -812,50 +763,29 @@ backend-assets/util/llama-cpp-rpc-server: backend-assets/grpc/llama-cpp-grpc
backend-assets/grpc/llama-ggml: sources/go-llama.cpp sources/go-llama.cpp/libbinding.a backend-assets/grpc
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/go-llama.cpp LIBRARY_PATH=$(CURDIR)/sources/go-llama.cpp \
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/llama-ggml ./backend/go/llm/llama-ggml/
ifneq ($(UPX),)
$(UPX) backend-assets/grpc/llama-ggml
endif
backend-assets/grpc/piper: sources/go-piper sources/go-piper/libpiper_binding.a backend-assets/grpc backend-assets/espeak-ng-data
CGO_CXXFLAGS="$(PIPER_CGO_CXXFLAGS)" CGO_LDFLAGS="$(PIPER_CGO_LDFLAGS)" LIBRARY_PATH=$(CURDIR)/sources/go-piper \
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/piper ./backend/go/tts/
ifneq ($(UPX),)
$(UPX) backend-assets/grpc/piper
endif
backend-assets/grpc/rwkv: sources/go-rwkv.cpp sources/go-rwkv.cpp/librwkv.a backend-assets/grpc
CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/go-rwkv.cpp LIBRARY_PATH=$(CURDIR)/sources/go-rwkv.cpp \
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/rwkv ./backend/go/llm/rwkv
ifneq ($(UPX),)
$(UPX) backend-assets/grpc/rwkv
endif
backend-assets/grpc/stablediffusion: sources/go-stable-diffusion sources/go-stable-diffusion/libstablediffusion.a backend-assets/grpc
CGO_LDFLAGS="$(CGO_LDFLAGS)" CPATH="$(CPATH):$(CURDIR)/sources/go-stable-diffusion/:/usr/include/opencv4" LIBRARY_PATH=$(CURDIR)/sources/go-stable-diffusion/ \
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/stablediffusion ./backend/go/image/stablediffusion
ifneq ($(UPX),)
$(UPX) backend-assets/grpc/stablediffusion
endif
backend-assets/grpc/tinydream: sources/go-tiny-dream sources/go-tiny-dream/libtinydream.a backend-assets/grpc
CGO_LDFLAGS="$(CGO_LDFLAGS)" LIBRARY_PATH=$(CURDIR)/go-tiny-dream \
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/tinydream ./backend/go/image/tinydream
ifneq ($(UPX),)
$(UPX) backend-assets/grpc/tinydream
endif
backend-assets/grpc/whisper: sources/whisper.cpp sources/whisper.cpp/libwhisper.a backend-assets/grpc
CGO_LDFLAGS="$(CGO_LDFLAGS) $(CGO_LDFLAGS_WHISPER)" C_INCLUDE_PATH="$(CURDIR)/sources/whisper.cpp/include:$(CURDIR)/sources/whisper.cpp/ggml/include" LIBRARY_PATH=$(CURDIR)/sources/whisper.cpp \
CGO_LDFLAGS="$(CGO_LDFLAGS) $(CGO_LDFLAGS_WHISPER)" C_INCLUDE_PATH=$(CURDIR)/sources/whisper.cpp LIBRARY_PATH=$(CURDIR)/sources/whisper.cpp \
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/whisper ./backend/go/transcribe/
ifneq ($(UPX),)
$(UPX) backend-assets/grpc/whisper
endif
backend-assets/grpc/local-store: backend-assets/grpc
$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/local-store ./backend/go/stores/
ifneq ($(UPX),)
$(UPX) backend-assets/grpc/local-store
endif
grpcs: prepare $(GRPC_BACKENDS)
@@ -873,17 +803,6 @@ docker:
--build-arg BUILD_TYPE=$(BUILD_TYPE) \
-t $(DOCKER_IMAGE) .
docker-cuda11:
docker build \
--build-arg CUDA_MAJOR_VERSION=11 \
--build-arg CUDA_MINOR_VERSION=8 \
--build-arg BASE_IMAGE=$(BASE_IMAGE) \
--build-arg IMAGE_TYPE=$(IMAGE_TYPE) \
--build-arg GO_TAGS="$(GO_TAGS)" \
--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
--build-arg BUILD_TYPE=$(BUILD_TYPE) \
-t $(DOCKER_IMAGE)-cuda11 .
docker-aio:
@echo "Building AIO image with base $(BASE_IMAGE) as $(DOCKER_AIO_IMAGE)"
docker build \
@@ -897,7 +816,7 @@ docker-aio-all:
docker-image-intel:
docker build \
--build-arg BASE_IMAGE=intel/oneapi-basekit:2024.2.0-devel-ubuntu22.04 \
--build-arg BASE_IMAGE=intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04 \
--build-arg IMAGE_TYPE=$(IMAGE_TYPE) \
--build-arg GO_TAGS="none" \
--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
@@ -905,7 +824,7 @@ docker-image-intel:
docker-image-intel-xpu:
docker build \
--build-arg BASE_IMAGE=intel/oneapi-basekit:2024.2.0-devel-ubuntu22.04 \
--build-arg BASE_IMAGE=intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04 \
--build-arg IMAGE_TYPE=$(IMAGE_TYPE) \
--build-arg GO_TAGS="none" \
--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
@@ -920,7 +839,7 @@ gen-assets:
$(GOCMD) run core/dependencies_manager/manager.go embedded/webui_static.yaml core/http/static/assets
## Documentation
docs/layouts/_default:
docs/layouts/_default:
mkdir -p docs/layouts/_default
docs/static/gallery.html: docs/layouts/_default
@@ -935,4 +854,4 @@ docs-clean:
.PHONY: docs
docs: docs/static/gallery.html
cd docs && hugo serve
cd docs && hugo serve

View File

@@ -48,13 +48,6 @@
![screen](https://github.com/mudler/LocalAI/assets/2420543/20b5ccd2-8393-44f0-aaf6-87a23806381e)
Run the installer script:
```bash
curl https://localai.io/install.sh | sh
```
Or run with docker:
```bash
docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-cpu
# Alternative images:
@@ -72,26 +65,21 @@ docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-cpu
[Roadmap](https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap)
- July 2024: 🔥🔥 🆕 P2P Dashboard, LocalAI Federated mode and AI Swarms: https://github.com/mudler/LocalAI/pull/2723
- June 2024: 🆕 You can browse now the model gallery without LocalAI! Check out https://models.localai.io
- June 2024: Support for models from OCI registries: https://github.com/mudler/LocalAI/pull/2628
- May 2024: 🔥🔥 Decentralized P2P llama.cpp: https://github.com/mudler/LocalAI/pull/2343 (peer2peer llama.cpp!) 👉 Docs https://localai.io/features/distribute/
- May 2024: 🔥🔥 Openvoice: https://github.com/mudler/LocalAI/pull/2334
- May 2024: 🆕 Function calls without grammars and mixed mode: https://github.com/mudler/LocalAI/pull/2328
- May 2024: 🔥🔥 Distributed inferencing: https://github.com/mudler/LocalAI/pull/2324
- May 2024: Chat, TTS, and Image generation in the WebUI: https://github.com/mudler/LocalAI/pull/2222
- April 2024: Reranker API: https://github.com/mudler/LocalAI/pull/2121
- 🔥🔥 Decentralized llama.cpp: https://github.com/mudler/LocalAI/pull/2343 (peer2peer llama.cpp!) 👉 Docs https://localai.io/features/distribute/
- 🔥🔥 Openvoice: https://github.com/mudler/LocalAI/pull/2334
- 🆕 Function calls without grammars and mixed mode: https://github.com/mudler/LocalAI/pull/2328
- 🔥🔥 Distributed inferencing: https://github.com/mudler/LocalAI/pull/2324
- Chat, TTS, and Image generation in the WebUI: https://github.com/mudler/LocalAI/pull/2222
- Reranker API: https://github.com/mudler/LocalAI/pull/2121
Hot topics (looking for contributors):
- 🔥🔥 Distributed, P2P Global community pools: https://github.com/mudler/LocalAI/issues/3113
- WebUI improvements: https://github.com/mudler/LocalAI/issues/2156
- Backends v2: https://github.com/mudler/LocalAI/issues/1126
- Improving UX v2: https://github.com/mudler/LocalAI/issues/1373
- Assistant API: https://github.com/mudler/LocalAI/issues/1273
- Moderation endpoint: https://github.com/mudler/LocalAI/issues/999
- Vulkan: https://github.com/mudler/LocalAI/issues/1647
- Anthropic API: https://github.com/mudler/LocalAI/issues/1808
If you want to help and contribute, issues up for grabs: https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3A%22up+for+grabs%22
@@ -108,7 +96,6 @@ If you want to help and contribute, issues up for grabs: https://github.com/mudl
- 🥽 [Vision API](https://localai.io/features/gpt-vision/)
- 📈 [Reranker API](https://localai.io/features/reranker/)
- 🆕🖧 [P2P Inferencing](https://localai.io/features/distribute/)
- 🌍 Integrated WebUI!
## 💻 Usage
@@ -137,7 +124,6 @@ Other:
- Slack bot https://github.com/mudler/LocalAGI/tree/main/examples/slack
- Shell-Pilot(Interact with LLM using LocalAI models via pure shell scripts on your Linux or MacOS system) https://github.com/reid41/shell-pilot
- Telegram bot https://github.com/mudler/LocalAI/tree/master/examples/telegram-bot
- Github Actions: https://github.com/marketplace/actions/start-localai
- Examples: https://github.com/mudler/LocalAI/tree/master/examples/
@@ -151,7 +137,6 @@ Other:
## :book: 🎥 [Media, Blogs, Social](https://localai.io/basics/news/#media-blogs-social)
- [Run Visual studio code with LocalAI (SUSE)](https://www.suse.com/c/running-ai-locally/)
- 🆕 [Run LocalAI on Jetson Nano Devkit](https://mudler.pm/posts/local-ai-jetson-nano-devkit/)
- [Run LocalAI on AWS EKS with Pulumi](https://www.pulumi.com/blog/low-code-llm-apps-with-local-ai-flowise-and-pulumi/)
- [Run LocalAI on AWS](https://staleks.hashnode.dev/installing-localai-on-aws-ec2-instance)

View File

@@ -230,7 +230,6 @@ message TranscriptRequest {
string dst = 2;
string language = 3;
uint32 threads = 4;
bool translate = 5;
}
message TranscriptResult {

View File

@@ -46,14 +46,9 @@ endif
$(INSTALLED_PACKAGES): grpc_build
$(GRPC_REPO):
mkdir -p $(GRPC_REPO)/grpc
cd $(GRPC_REPO)/grpc && \
git init && \
git remote add origin $(GIT_REPO_LIB_GRPC) && \
git fetch origin && \
git checkout $(TAG_LIB_GRPC) && \
git submodule update --init --recursive --depth 1 --single-branch
git clone --depth $(GIT_CLONE_DEPTH) -b $(TAG_LIB_GRPC) $(GIT_REPO_LIB_GRPC) $(GRPC_REPO)/grpc
cd $(GRPC_REPO)/grpc && git submodule update --jobs 2 --init --recursive --depth $(GIT_CLONE_DEPTH)
$(GRPC_BUILD): $(GRPC_REPO)
mkdir -p $(GRPC_BUILD)
cd $(GRPC_BUILD) && cmake $(CMAKE_ARGS) ../$(GRPC_REPO)/grpc && cmake --build . && cmake --build . --target install

View File

@@ -1,58 +1,45 @@
LLAMA_VERSION?=
LLAMA_REPO?=https://github.com/ggerganov/llama.cpp
CMAKE_ARGS?=
BUILD_TYPE?=
ONEAPI_VARS?=/opt/intel/oneapi/setvars.sh
TARGET?=--target grpc-server
# Disable Shared libs as we are linking on static gRPC and we can't mix shared and static
CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF
# If build type is cublas, then we set -DGGML_CUDA=ON to CMAKE_ARGS automatically
# If build type is cublas, then we set -DLLAMA_CUBLAS=ON to CMAKE_ARGS automatically
ifeq ($(BUILD_TYPE),cublas)
CMAKE_ARGS+=-DGGML_CUDA=ON
# If build type is openblas then we set -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
CMAKE_ARGS+=-DLLAMA_CUBLAS=ON
# If build type is openblas then we set -DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS
# to CMAKE_ARGS automatically
else ifeq ($(BUILD_TYPE),openblas)
CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
# If build type is clblas (openCL) we set -DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
CMAKE_ARGS+=-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS
# If build type is clblas (openCL) we set -DLLAMA_CLBLAST=ON -DCLBlast_DIR=/some/path
else ifeq ($(BUILD_TYPE),clblas)
CMAKE_ARGS+=-DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
CMAKE_ARGS+=-DLLAMA_CLBLAST=ON -DCLBlast_DIR=/some/path
# If it's hipblas we do have also to set CC=/opt/rocm/llvm/bin/clang CXX=/opt/rocm/llvm/bin/clang++
else ifeq ($(BUILD_TYPE),hipblas)
CMAKE_ARGS+=-DGGML_HIPBLAS=ON
# If it's OSX, DO NOT embed the metal library - -DGGML_METAL_EMBED_LIBRARY=ON requires further investigation
CMAKE_ARGS+=-DLLAMA_HIPBLAS=ON
# If it's OSX, DO NOT embed the metal library - -DLLAMA_METAL_EMBED_LIBRARY=ON requires further investigation
# But if it's OSX without metal, disable it here
else ifeq ($(OS),Darwin)
else ifeq ($(OS),darwin)
ifneq ($(BUILD_TYPE),metal)
CMAKE_ARGS+=-DGGML_METAL=OFF
else
CMAKE_ARGS+=-DGGML_METAL=ON
# Until this is tested properly, we disable embedded metal file
# as we already embed it as part of the LocalAI assets
CMAKE_ARGS+=-DGGML_METAL_EMBED_LIBRARY=OFF
TARGET+=--target ggml-metal
CMAKE_ARGS+=-DLLAMA_METAL=OFF
endif
endif
ifeq ($(BUILD_TYPE),sycl_f16)
CMAKE_ARGS+=-DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON
CMAKE_ARGS+=-DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_SYCL_F16=ON
endif
ifeq ($(BUILD_TYPE),sycl_f32)
CMAKE_ARGS+=-DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
CMAKE_ARGS+=-DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
endif
llama.cpp:
mkdir -p llama.cpp
cd llama.cpp && \
git init && \
git remote add origin $(LLAMA_REPO) && \
git fetch origin && \
git checkout -b build $(LLAMA_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
git clone --recurse-submodules https://github.com/ggerganov/llama.cpp llama.cpp
if [ -z "$(LLAMA_VERSION)" ]; then \
exit 1; \
fi
cd llama.cpp && git checkout -b build $(LLAMA_VERSION) && git submodule update --init --recursive --depth 1
llama.cpp/examples/grpc-server: llama.cpp
mkdir -p llama.cpp/examples/grpc-server
@@ -74,9 +61,9 @@ clean: purge
grpc-server: llama.cpp llama.cpp/examples/grpc-server
@echo "Building grpc-server with $(BUILD_TYPE) build type and $(CMAKE_ARGS)"
ifneq (,$(findstring sycl,$(BUILD_TYPE)))
+bash -c "source $(ONEAPI_VARS); \
cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && cmake --build . --config Release $(TARGET)"
bash -c "source $(ONEAPI_VARS); \
cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && $(MAKE)"
else
+cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && cmake --build . --config Release $(TARGET)
cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && $(MAKE)
endif
cp llama.cpp/build/bin/grpc-server .

View File

@@ -458,9 +458,7 @@ struct llama_server_context
}
}
llama_init_result llama_init = llama_init_from_gpt_params(params);
model = llama_init.model;
ctx = llama_init.context;
std::tie(model, ctx) = llama_init_from_gpt_params(params);
if (model == nullptr)
{
LOG_ERROR("unable to load model", {{"model", params.model}});
@@ -480,7 +478,7 @@ struct llama_server_context
n_ctx = llama_n_ctx(ctx);
add_bos_token = llama_add_bos_token(model);
add_bos_token = llama_should_add_bos_token(model);
return true;
}
@@ -888,8 +886,6 @@ struct llama_server_context
{"task_id", slot->task_id},
});
LOG_TEE("sampling: \n%s\n", llama_sampling_print(slot->sparams).c_str());
return true;
}
@@ -2110,7 +2106,6 @@ json parse_options(bool streaming, const backend::PredictOptions* predict, llama
data["grammar"] = predict->grammar();
data["prompt"] = predict->prompt();
data["ignore_eos"] = predict->ignoreeos();
data["embeddings"] = predict->embeddings();
// for each image in the request, add the image data
//
@@ -2260,7 +2255,8 @@ static void params_parse(const backend::ModelOptions* request,
}
// get the directory of modelfile
std::string model_dir = params.model.substr(0, params.model.find_last_of("/\\"));
params.lora_adapters.push_back({ model_dir + "/"+request->loraadapter(), scale_factor });
params.lora_adapter.push_back(std::make_tuple(model_dir + "/"+request->loraadapter(), scale_factor));
params.lora_base = model_dir + "/"+request->lorabase();
}
params.use_mlock = request->mlock();
params.use_mmap = request->mmap();
@@ -2387,31 +2383,6 @@ public:
return grpc::Status::OK;
}
/// https://github.com/ggerganov/llama.cpp/blob/aa2341298924ac89778252015efcb792f2df1e20/examples/server/server.cpp#L2969
grpc::Status Embedding(ServerContext* context, const backend::PredictOptions* request, backend::EmbeddingResult* embeddingResult) {
json data = parse_options(false, request, llama);
const int task_id = llama.queue_tasks.get_new_id();
llama.queue_results.add_waiting_task_id(task_id);
llama.request_completion(task_id, { {"prompt", data["embeddings"]}, { "n_predict", 0}, {"image_data", ""} }, false, true, -1);
// get the result
task_result result = llama.queue_results.recv(task_id);
//std::cout << "Embedding result JSON" << result.result_json.dump() << std::endl;
llama.queue_results.remove_waiting_task_id(task_id);
if (!result.error && result.stop) {
std::vector<float> embeddings = result.result_json.value("embedding", std::vector<float>());
// loop the vector and set the embeddings results
for (int i = 0; i < embeddings.size(); i++) {
embeddingResult->add_embeddings(embeddings[i]);
}
}
else
{
return grpc::Status::OK;
}
return grpc::Status::OK;
}
};
void RunServer(const std::string& server_address) {

View File

@@ -5,7 +5,7 @@ package main
import (
"flag"
grpc "github.com/mudler/LocalAI/pkg/grpc"
grpc "github.com/go-skynet/LocalAI/pkg/grpc"
)
var (

View File

@@ -3,9 +3,9 @@ package main
// This is a wrapper to statisfy the GRPC service interface
// It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
import (
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
"github.com/mudler/LocalAI/pkg/stablediffusion"
"github.com/go-skynet/LocalAI/pkg/grpc/base"
pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
"github.com/go-skynet/LocalAI/pkg/stablediffusion"
)
type Image struct {

View File

@@ -5,7 +5,7 @@ package main
import (
"flag"
grpc "github.com/mudler/LocalAI/pkg/grpc"
grpc "github.com/go-skynet/LocalAI/pkg/grpc"
)
var (

View File

@@ -3,9 +3,9 @@ package main
// This is a wrapper to statisfy the GRPC service interface
// It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
import (
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
"github.com/mudler/LocalAI/pkg/tinydream"
"github.com/go-skynet/LocalAI/pkg/grpc/base"
pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
"github.com/go-skynet/LocalAI/pkg/tinydream"
)
type Image struct {

View File

@@ -5,8 +5,8 @@ package main
import (
bert "github.com/go-skynet/go-bert.cpp"
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
"github.com/go-skynet/LocalAI/pkg/grpc/base"
pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
)
type Embeddings struct {

View File

@@ -5,7 +5,7 @@ package main
import (
"flag"
grpc "github.com/mudler/LocalAI/pkg/grpc"
grpc "github.com/go-skynet/LocalAI/pkg/grpc"
)
var (

View File

@@ -0,0 +1,62 @@
package main
// This is a wrapper to statisfy the GRPC service interface
// It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
import (
"fmt"
"github.com/go-skynet/LocalAI/pkg/grpc/base"
pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
gpt4all "github.com/nomic-ai/gpt4all/gpt4all-bindings/golang"
)
type LLM struct {
base.SingleThread
gpt4all *gpt4all.Model
}
func (llm *LLM) Load(opts *pb.ModelOptions) error {
model, err := gpt4all.New(opts.ModelFile,
gpt4all.SetThreads(int(opts.Threads)),
gpt4all.SetLibrarySearchPath(opts.LibrarySearchPath))
llm.gpt4all = model
return err
}
func buildPredictOptions(opts *pb.PredictOptions) []gpt4all.PredictOption {
predictOptions := []gpt4all.PredictOption{
gpt4all.SetTemperature(float64(opts.Temperature)),
gpt4all.SetTopP(float64(opts.TopP)),
gpt4all.SetTopK(int(opts.TopK)),
gpt4all.SetTokens(int(opts.Tokens)),
}
if opts.Batch != 0 {
predictOptions = append(predictOptions, gpt4all.SetBatch(int(opts.Batch)))
}
return predictOptions
}
func (llm *LLM) Predict(opts *pb.PredictOptions) (string, error) {
return llm.gpt4all.Predict(opts.Prompt, buildPredictOptions(opts)...)
}
func (llm *LLM) PredictStream(opts *pb.PredictOptions, results chan string) error {
predictOptions := buildPredictOptions(opts)
go func() {
llm.gpt4all.SetTokenCallback(func(token string) bool {
results <- token
return true
})
_, err := llm.gpt4all.Predict(opts.Prompt, predictOptions...)
if err != nil {
fmt.Println("err: ", err)
}
llm.gpt4all.SetTokenCallback(nil)
close(results)
}()
return nil
}

View File

@@ -0,0 +1,21 @@
package main
// Note: this is started internally by LocalAI and a server is allocated for each model
import (
"flag"
grpc "github.com/go-skynet/LocalAI/pkg/grpc"
)
var (
addr = flag.String("addr", "localhost:50051", "the address to connect to")
)
func main() {
flag.Parse()
if err := grpc.StartServer(*addr, &LLM{}); err != nil {
panic(err)
}
}

View File

@@ -6,9 +6,9 @@ import (
"fmt"
"os"
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
"github.com/mudler/LocalAI/pkg/langchain"
"github.com/go-skynet/LocalAI/pkg/grpc/base"
pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
"github.com/go-skynet/LocalAI/pkg/langchain"
)
type LLM struct {

View File

@@ -5,7 +5,7 @@ package main
import (
"flag"
grpc "github.com/mudler/LocalAI/pkg/grpc"
grpc "github.com/go-skynet/LocalAI/pkg/grpc"
)
var (

View File

@@ -5,9 +5,9 @@ package main
import (
"fmt"
"github.com/go-skynet/LocalAI/pkg/grpc/base"
pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
"github.com/go-skynet/go-llama.cpp"
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
)
type LLM struct {

View File

@@ -3,7 +3,7 @@ package main
import (
"flag"
grpc "github.com/mudler/LocalAI/pkg/grpc"
grpc "github.com/go-skynet/LocalAI/pkg/grpc"
)
var (

View File

@@ -6,9 +6,9 @@ import (
"fmt"
"path/filepath"
"github.com/go-skynet/LocalAI/pkg/grpc/base"
pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
"github.com/go-skynet/go-llama.cpp"
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
)
type LLM struct {

View File

@@ -7,7 +7,7 @@ package main
import (
"flag"
grpc "github.com/mudler/LocalAI/pkg/grpc"
grpc "github.com/go-skynet/LocalAI/pkg/grpc"
)
var (

View File

@@ -5,7 +5,7 @@ package main
import (
"flag"
grpc "github.com/mudler/LocalAI/pkg/grpc"
grpc "github.com/go-skynet/LocalAI/pkg/grpc"
)
var (

View File

@@ -7,8 +7,8 @@ import (
"path/filepath"
"github.com/donomii/go-rwkv.cpp"
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
"github.com/go-skynet/LocalAI/pkg/grpc/base"
pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
)
const tokenizerSuffix = ".tokenizer.json"
@@ -31,7 +31,7 @@ func (llm *LLM) Load(opts *pb.ModelOptions) error {
model := rwkv.LoadFiles(opts.ModelFile, tokenizerPath, uint32(opts.GetThreads()))
if model == nil {
return fmt.Errorf("rwkv could not load model")
return fmt.Errorf("could not load model")
}
llm.rwkv = model
return nil

View File

@@ -6,7 +6,7 @@ import (
"flag"
"os"
grpc "github.com/mudler/LocalAI/pkg/grpc"
grpc "github.com/go-skynet/LocalAI/pkg/grpc"
"github.com/rs/zerolog"
"github.com/rs/zerolog/log"
)

View File

@@ -8,8 +8,8 @@ import (
"math"
"slices"
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
"github.com/go-skynet/LocalAI/pkg/grpc/base"
pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
"github.com/rs/zerolog/log"
)

View File

@@ -5,7 +5,7 @@ package main
import (
"flag"
grpc "github.com/mudler/LocalAI/pkg/grpc"
grpc "github.com/go-skynet/LocalAI/pkg/grpc"
)
var (

View File

@@ -8,7 +8,7 @@ import (
"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
"github.com/go-audio/wav"
"github.com/mudler/LocalAI/core/schema"
"github.com/go-skynet/LocalAI/core/schema"
)
func ffmpegCommand(args []string) (string, error) {
@@ -29,7 +29,7 @@ func audioToWav(src, dst string) error {
return nil
}
func Transcript(model whisper.Model, audiopath, language string, translate bool, threads uint) (schema.TranscriptionResult, error) {
func Transcript(model whisper.Model, audiopath, language string, threads uint) (schema.TranscriptionResult, error) {
res := schema.TranscriptionResult{}
dir, err := os.MkdirTemp("", "whisper")
@@ -75,10 +75,6 @@ func Transcript(model whisper.Model, audiopath, language string, translate bool,
context.SetLanguage("auto")
}
if translate {
context.SetTranslate(true)
}
if err := context.Process(data, nil, nil); err != nil {
return res, err
}

View File

@@ -4,9 +4,9 @@ package main
// It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
import (
"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
"github.com/mudler/LocalAI/core/schema"
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
"github.com/go-skynet/LocalAI/core/schema"
"github.com/go-skynet/LocalAI/pkg/grpc/base"
pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
)
type Whisper struct {
@@ -22,5 +22,5 @@ func (sd *Whisper) Load(opts *pb.ModelOptions) error {
}
func (sd *Whisper) AudioTranscription(opts *pb.TranscriptRequest) (schema.TranscriptionResult, error) {
return Transcript(sd.whisper, opts.Dst, opts.Language, opts.Translate, uint(opts.Threads))
return Transcript(sd.whisper, opts.Dst, opts.Language, uint(opts.Threads))
}

View File

@@ -5,7 +5,7 @@ package main
import (
"flag"
grpc "github.com/mudler/LocalAI/pkg/grpc"
grpc "github.com/go-skynet/LocalAI/pkg/grpc"
)
var (

View File

@@ -7,8 +7,8 @@ import (
"os"
"path/filepath"
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
"github.com/go-skynet/LocalAI/pkg/grpc/base"
pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
piper "github.com/mudler/go-piper"
)

View File

@@ -1,2 +0,0 @@
--extra-index-url https://download.pytorch.org/whl/cu118
torch

View File

@@ -1 +0,0 @@
torch

View File

@@ -2,4 +2,4 @@
intel-extension-for-pytorch
torch
optimum[openvino]
setuptools==72.1.0 # https://github.com/mudler/LocalAI/issues/2406
setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

View File

@@ -1,6 +1,7 @@
accelerate
auto-gptq==0.7.1
grpcio==1.65.4
grpcio==1.64.0
protobuf
torch
certifi
transformers

View File

@@ -1,4 +0,0 @@
transformers
accelerate
torch
torchaudio

View File

@@ -1,5 +0,0 @@
--extra-index-url https://download.pytorch.org/whl/cu118
torch
torchaudio
transformers
accelerate

View File

@@ -1,4 +0,0 @@
torch
torchaudio
transformers
accelerate

View File

@@ -1,5 +1,3 @@
--extra-index-url https://download.pytorch.org/whl/rocm6.0
torch
torchaudio
transformers
accelerate
torchaudio

View File

@@ -3,6 +3,4 @@ intel-extension-for-pytorch
torch
torchaudio
optimum[openvino]
setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
transformers
accelerate
setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

View File

@@ -1,4 +1,6 @@
accelerate
bark==0.1.5
grpcio==1.65.5
grpcio==1.64.0
protobuf
certifi
certifi
transformers

View File

@@ -18,23 +18,10 @@
# source $(dirname $0)/../common/libbackend.sh
#
function init() {
# Name of the backend (directory name)
BACKEND_NAME=${PWD##*/}
# Path where all backends files are
MY_DIR=$(realpath `dirname $0`)
# Build type
BUILD_PROFILE=$(getBuildProfile)
# Environment directory
EDIR=${MY_DIR}
# Allow to specify a custom env dir for shared environments
if [ "x${ENV_DIR}" != "x" ]; then
EDIR=${ENV_DIR}
fi
# If a backend has defined a list of valid build profiles...
if [ ! -z "${LIMIT_TARGETS}" ]; then
isValidTarget=$(checkTargets ${LIMIT_TARGETS})
@@ -87,14 +74,13 @@ function getBuildProfile() {
# This function is idempotent, so you can call it as many times as you want and it will
# always result in an activated virtual environment
function ensureVenv() {
if [ ! -d "${EDIR}/venv" ]; then
uv venv ${EDIR}/venv
if [ ! -d "${MY_DIR}/venv" ]; then
uv venv ${MY_DIR}/venv
echo "virtualenv created"
fi
# Source if we are not already in a Virtual env
if [ "x${VIRTUAL_ENV}" != "x${EDIR}/venv" ]; then
source ${EDIR}/venv/bin/activate
if [ "x${VIRTUAL_ENV}" != "x${MY_DIR}/venv" ]; then
source ${MY_DIR}/venv/bin/activate
echo "virtualenv activated"
fi
@@ -127,24 +113,13 @@ function installRequirements() {
# These are the requirements files we will attempt to install, in order
declare -a requirementFiles=(
"${EDIR}/requirements-install.txt"
"${EDIR}/requirements.txt"
"${EDIR}/requirements-${BUILD_TYPE}.txt"
"${MY_DIR}/requirements-install.txt"
"${MY_DIR}/requirements.txt"
"${MY_DIR}/requirements-${BUILD_TYPE}.txt"
)
if [ "x${BUILD_TYPE}" != "x${BUILD_PROFILE}" ]; then
requirementFiles+=("${EDIR}/requirements-${BUILD_PROFILE}.txt")
fi
# if BUILD_TYPE is empty, we are a CPU build, so we should try to install the CPU requirements
if [ "x${BUILD_TYPE}" == "x" ]; then
requirementFiles+=("${EDIR}/requirements-cpu.txt")
fi
requirementFiles+=("${EDIR}/requirements-after.txt")
if [ "x${BUILD_TYPE}" != "x${BUILD_PROFILE}" ]; then
requirementFiles+=("${EDIR}/requirements-${BUILD_PROFILE}-after.txt")
requirementFiles+=("${MY_DIR}/requirements-${BUILD_PROFILE}.txt")
fi
for reqFile in ${requirementFiles[@]}; do
@@ -173,13 +148,13 @@ function startBackend() {
ensureVenv
if [ ! -z ${BACKEND_FILE} ]; then
exec python ${BACKEND_FILE} $@
python ${BACKEND_FILE} $@
elif [ -e "${MY_DIR}/server.py" ]; then
exec python ${MY_DIR}/server.py $@
python ${MY_DIR}/server.py $@
elif [ -e "${MY_DIR}/backend.py" ]; then
exec python ${MY_DIR}/backend.py $@
python ${MY_DIR}/backend.py $@
elif [ -e "${MY_DIR}/${BACKEND_NAME}.py" ]; then
exec python ${MY_DIR}/${BACKEND_NAME}.py $@
python ${MY_DIR}/${BACKEND_NAME}.py $@
fi
}
@@ -235,4 +210,4 @@ function checkTargets() {
echo false
}
init
init

View File

@@ -1,2 +1,2 @@
grpcio==1.65.5
grpcio==1.64.0
protobuf

View File

@@ -1,3 +0,0 @@
transformers
accelerate
torch

View File

@@ -1,5 +0,0 @@
--extra-index-url https://download.pytorch.org/whl/cu118
torch
torchaudio
transformers
accelerate

View File

@@ -1,4 +0,0 @@
torch
torchaudio
transformers
accelerate

View File

@@ -1,5 +1,3 @@
--extra-index-url https://download.pytorch.org/whl/rocm6.0
torch
torchaudio
transformers
accelerate
torchaudio

View File

@@ -3,6 +3,4 @@ intel-extension-for-pytorch
torch
torchaudio
optimum[openvino]
setuptools==72.1.0 # https://github.com/mudler/LocalAI/issues/2406
transformers
accelerate
setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

View File

@@ -1,4 +1,6 @@
accelerate
TTS==0.22.0
grpcio==1.65.5
grpcio==1.64.0
protobuf
certifi
certifi
transformers

View File

@@ -1,6 +1,6 @@
#!/usr/bin/env python3
from concurrent import futures
import traceback
import argparse
from collections import defaultdict
from enum import Enum
@@ -17,39 +17,35 @@ import backend_pb2_grpc
import grpc
from diffusers import StableDiffusion3Pipeline, StableDiffusionXLPipeline, StableDiffusionDepth2ImgPipeline, DPMSolverMultistepScheduler, StableDiffusionPipeline, DiffusionPipeline, \
EulerAncestralDiscreteScheduler, FluxPipeline, FluxTransformer2DModel
from diffusers import StableDiffusionXLPipeline, StableDiffusionDepth2ImgPipeline, DPMSolverMultistepScheduler, StableDiffusionPipeline, DiffusionPipeline, EulerAncestralDiscreteScheduler
from diffusers import StableDiffusionImg2ImgPipeline, AutoPipelineForText2Image, ControlNetModel, StableVideoDiffusionPipeline
from diffusers.pipelines.stable_diffusion import safety_checker
from diffusers.utils import load_image, export_to_video
from diffusers.utils import load_image,export_to_video
from compel import Compel, ReturnedEmbeddingsType
from optimum.quanto import freeze, qfloat8, quantize
from transformers import CLIPTextModel, T5EncoderModel
from transformers import CLIPTextModel
from safetensors.torch import load_file
_ONE_DAY_IN_SECONDS = 60 * 60 * 24
COMPEL = os.environ.get("COMPEL", "0") == "1"
XPU = os.environ.get("XPU", "0") == "1"
CLIPSKIP = os.environ.get("CLIPSKIP", "1") == "1"
SAFETENSORS = os.environ.get("SAFETENSORS", "1") == "1"
CHUNK_SIZE = os.environ.get("CHUNK_SIZE", "8")
FPS = os.environ.get("FPS", "7")
DISABLE_CPU_OFFLOAD = os.environ.get("DISABLE_CPU_OFFLOAD", "0") == "1"
FRAMES = os.environ.get("FRAMES", "64")
COMPEL=os.environ.get("COMPEL", "0") == "1"
XPU=os.environ.get("XPU", "0") == "1"
CLIPSKIP=os.environ.get("CLIPSKIP", "1") == "1"
SAFETENSORS=os.environ.get("SAFETENSORS", "1") == "1"
CHUNK_SIZE=os.environ.get("CHUNK_SIZE", "8")
FPS=os.environ.get("FPS", "7")
DISABLE_CPU_OFFLOAD=os.environ.get("DISABLE_CPU_OFFLOAD", "0") == "1"
FRAMES=os.environ.get("FRAMES", "64")
if XPU:
import intel_extension_for_pytorch as ipex
print(ipex.xpu.get_device_name(0))
# If MAX_WORKERS are specified in the environment use it, otherwise default to 1
MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1'))
# https://github.com/CompVis/stable-diffusion/issues/239#issuecomment-1627615287
def sc(self, clip_input, images): return images, [False for i in images]
def sc(self, clip_input, images) : return images, [False for i in images]
# edit the StableDiffusionSafetyChecker class so that, when called, it just returns the images and an array of True values
safety_checker.StableDiffusionSafetyChecker.forward = sc
@@ -66,8 +62,6 @@ from diffusers.schedulers import (
PNDMScheduler,
UniPCMultistepScheduler,
)
# The scheduler list mapping was taken from here: https://github.com/neggles/animatediff-cli/blob/6f336f5f4b5e38e85d7f06f1744ef42d0a45f2a7/src/animatediff/schedulers.py#L39
# Credits to https://github.com/neggles
# See https://github.com/huggingface/diffusers/issues/4167 for more details on sched mapping from A1111
@@ -142,12 +136,10 @@ def get_scheduler(name: str, config: dict = {}):
return sched_class.from_config(config)
# Implement the BackendServicer class with the service methods
class BackendServicer(backend_pb2_grpc.BackendServicer):
def Health(self, request, context):
return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
def LoadModel(self, request, context):
try:
print(f"Loading model {request.Model}...", file=sys.stderr)
@@ -157,48 +149,46 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
if request.F16Memory:
torchType = torch.float16
variant = "fp16"
variant="fp16"
local = False
modelFile = request.Model
self.cfg_scale = 7
self.PipelineType = request.PipelineType
if request.CFGScale != 0:
self.cfg_scale = request.CFGScale
clipmodel = "runwayml/stable-diffusion-v1-5"
if request.CLIPModel != "":
clipmodel = request.CLIPModel
clipsubfolder = "text_encoder"
if request.CLIPSubfolder != "":
clipsubfolder = request.CLIPSubfolder
# Check if ModelFile exists
if request.ModelFile != "":
if os.path.exists(request.ModelFile):
local = True
modelFile = request.ModelFile
fromSingleFile = request.Model.startswith("http") or request.Model.startswith("/") or local
self.img2vid = False
self.txt2vid = False
self.img2vid=False
self.txt2vid=False
## img2img
if (request.PipelineType == "StableDiffusionImg2ImgPipeline") or (request.IMG2IMG and request.PipelineType == ""):
if fromSingleFile:
self.pipe = StableDiffusionImg2ImgPipeline.from_single_file(modelFile,
torch_dtype=torchType)
torch_dtype=torchType)
else:
self.pipe = StableDiffusionImg2ImgPipeline.from_pretrained(request.Model,
torch_dtype=torchType)
torch_dtype=torchType)
elif request.PipelineType == "StableDiffusionDepth2ImgPipeline":
self.pipe = StableDiffusionDepth2ImgPipeline.from_pretrained(request.Model,
torch_dtype=torchType)
torch_dtype=torchType)
## img2vid
elif request.PipelineType == "StableVideoDiffusionPipeline":
self.img2vid = True
self.img2vid=True
self.pipe = StableVideoDiffusionPipeline.from_pretrained(
request.Model, torch_dtype=torchType, variant=variant
)
@@ -207,87 +197,53 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
## text2img
elif request.PipelineType == "AutoPipelineForText2Image" or request.PipelineType == "":
self.pipe = AutoPipelineForText2Image.from_pretrained(request.Model,
torch_dtype=torchType,
use_safetensors=SAFETENSORS,
variant=variant)
torch_dtype=torchType,
use_safetensors=SAFETENSORS,
variant=variant)
elif request.PipelineType == "StableDiffusionPipeline":
if fromSingleFile:
self.pipe = StableDiffusionPipeline.from_single_file(modelFile,
torch_dtype=torchType)
torch_dtype=torchType)
else:
self.pipe = StableDiffusionPipeline.from_pretrained(request.Model,
torch_dtype=torchType)
torch_dtype=torchType)
elif request.PipelineType == "DiffusionPipeline":
self.pipe = DiffusionPipeline.from_pretrained(request.Model,
torch_dtype=torchType)
torch_dtype=torchType)
elif request.PipelineType == "VideoDiffusionPipeline":
self.txt2vid = True
self.txt2vid=True
self.pipe = DiffusionPipeline.from_pretrained(request.Model,
torch_dtype=torchType)
torch_dtype=torchType)
elif request.PipelineType == "StableDiffusionXLPipeline":
if fromSingleFile:
self.pipe = StableDiffusionXLPipeline.from_single_file(modelFile,
torch_dtype=torchType,
use_safetensors=True)
torch_dtype=torchType,
use_safetensors=True)
else:
self.pipe = StableDiffusionXLPipeline.from_pretrained(
request.Model,
torch_dtype=torchType,
use_safetensors=True,
request.Model,
torch_dtype=torchType,
use_safetensors=True,
variant=variant)
elif request.PipelineType == "StableDiffusion3Pipeline":
if fromSingleFile:
self.pipe = StableDiffusion3Pipeline.from_single_file(modelFile,
torch_dtype=torchType,
use_safetensors=True)
else:
self.pipe = StableDiffusion3Pipeline.from_pretrained(
request.Model,
torch_dtype=torchType,
use_safetensors=True,
variant=variant)
elif request.PipelineType == "FluxPipeline":
self.pipe = FluxPipeline.from_pretrained(
request.Model,
torch_dtype=torch.bfloat16)
if request.LowVRAM:
self.pipe.enable_model_cpu_offload()
elif request.PipelineType == "FluxTransformer2DModel":
dtype = torch.bfloat16
# specify from environment or default to "ChuckMcSneed/FLUX.1-dev"
bfl_repo = os.environ.get("BFL_REPO", "ChuckMcSneed/FLUX.1-dev")
transformer = FluxTransformer2DModel.from_single_file(modelFile, torch_dtype=dtype)
quantize(transformer, weights=qfloat8)
freeze(transformer)
text_encoder_2 = T5EncoderModel.from_pretrained(bfl_repo, subfolder="text_encoder_2", torch_dtype=dtype)
quantize(text_encoder_2, weights=qfloat8)
freeze(text_encoder_2)
self.pipe = FluxPipeline.from_pretrained(bfl_repo, transformer=None, text_encoder_2=None, torch_dtype=dtype)
self.pipe.transformer = transformer
self.pipe.text_encoder_2 = text_encoder_2
if request.LowVRAM:
self.pipe.enable_model_cpu_offload()
if CLIPSKIP and request.CLIPSkip != 0:
self.clip_skip = request.CLIPSkip
else:
self.clip_skip = 0
# torch_dtype needs to be customized. float16 for GPU, float32 for CPU
# TODO: this needs to be customized
if request.SchedulerType != "":
self.pipe.scheduler = get_scheduler(request.SchedulerType, self.pipe.scheduler.config)
if COMPEL:
self.compel = Compel(
tokenizer=[self.pipe.tokenizer, self.pipe.tokenizer_2],
tokenizer=[self.pipe.tokenizer, self.pipe.tokenizer_2 ],
text_encoder=[self.pipe.text_encoder, self.pipe.text_encoder_2],
returned_embeddings_type=ReturnedEmbeddingsType.PENULTIMATE_HIDDEN_STATES_NON_NORMALIZED,
requires_pooled=[False, True]
)
)
if request.ControlNet:
self.controlnet = ControlNetModel.from_pretrained(
@@ -296,6 +252,13 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
self.pipe.controlnet = self.controlnet
else:
self.controlnet = None
if request.CUDA:
self.pipe.to('cuda')
if self.controlnet:
self.controlnet.to('cuda')
if XPU:
self.pipe = self.pipe.to("xpu")
# Assume directory from request.ModelFile.
# Only if request.LoraAdapter it's not an absolute path
if request.LoraAdapter and request.ModelFile != "" and not os.path.isabs(request.LoraAdapter) and request.LoraAdapter:
@@ -308,17 +271,10 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
if request.LoraAdapter:
# Check if its a local file and not a directory ( we load lora differently for a safetensor file )
if os.path.exists(request.LoraAdapter) and not os.path.isdir(request.LoraAdapter):
# self.load_lora_weights(request.LoraAdapter, 1, device, torchType)
self.pipe.load_lora_weights(request.LoraAdapter)
self.load_lora_weights(request.LoraAdapter, 1, device, torchType)
else:
self.pipe.unet.load_attn_procs(request.LoraAdapter)
if request.CUDA:
self.pipe.to('cuda')
if self.controlnet:
self.controlnet.to('cuda')
if XPU:
self.pipe = self.pipe.to("xpu")
except Exception as err:
return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
# Implement your logic here for the LoadModel service
@@ -391,9 +347,9 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
# create a dictionary of values for the parameters
options = {
"negative_prompt": request.negative_prompt,
"width": request.width,
"height": request.height,
"negative_prompt": request.negative_prompt,
"width": request.width,
"height": request.height,
"num_inference_steps": steps,
}
@@ -405,7 +361,7 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
options["image"] = pose_image
if CLIPSKIP and self.clip_skip != 0:
options["clip_skip"] = self.clip_skip
options["clip_skip"]=self.clip_skip
# Get the keys that we will build the args for our pipe for
keys = options.keys()
@@ -425,13 +381,6 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
request.seed
)
if self.PipelineType == "FluxPipeline":
kwargs["max_sequence_length"] = 256
if self.PipelineType == "FluxTransformer2DModel":
kwargs["output_type"] = "pil"
kwargs["generator"] = torch.Generator("cpu").manual_seed(0)
if self.img2vid:
# Load the conditioning image
image = load_image(request.src)
@@ -456,21 +405,20 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
image = self.pipe(
guidance_scale=self.cfg_scale,
**kwargs
).images[0]
).images[0]
else:
# pass the kwargs dictionary to the self.pipe method
image = self.pipe(
prompt,
guidance_scale=self.cfg_scale,
**kwargs
).images[0]
).images[0]
# save the result
image.save(request.dst)
return backend_pb2.Result(message="Media generated", success=True)
def serve(address):
server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS))
backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server)
@@ -494,7 +442,6 @@ def serve(address):
except KeyboardInterrupt:
server.stop(0)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Run the gRPC server.")
parser.add_argument(
@@ -502,4 +449,4 @@ if __name__ == "__main__":
)
args = parser.parse_args()
serve(args.addr)
serve(args.addr)

View File

@@ -1,9 +0,0 @@
diffusers
opencv-python
transformers
accelerate
compel
peft
sentencepiece
torch
optimum-quanto

View File

@@ -1,10 +0,0 @@
--extra-index-url https://download.pytorch.org/whl/cu118
torch
diffusers
opencv-python
transformers
accelerate
compel
peft
sentencepiece
optimum-quanto

View File

@@ -1,9 +0,0 @@
torch
diffusers
opencv-python
transformers
accelerate
compel
peft
sentencepiece
optimum-quanto

View File

@@ -1,11 +1,3 @@
--extra-index-url https://download.pytorch.org/whl/rocm6.0
torch==2.3.1+rocm6.0
torchvision==0.18.1+rocm6.0
diffusers
opencv-python
transformers
accelerate
compel
peft
sentencepiece
optimum-quanto
torch
torchvision

View File

@@ -3,12 +3,4 @@ intel-extension-for-pytorch
torch
torchvision
optimum[openvino]
setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
diffusers
opencv-python
transformers
accelerate
compel
peft
sentencepiece
optimum-quanto
setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406

View File

@@ -1,5 +1,10 @@
setuptools
grpcio==1.65.4
accelerate
compel
diffusers
grpcio==1.64.0
opencv-python
pillow
protobuf
certifi
torch
transformers
certifi

View File

@@ -1,3 +0,0 @@
transformers
accelerate
torch

View File

@@ -1,4 +0,0 @@
--extra-index-url https://download.pytorch.org/whl/cu118
torch
transformers
accelerate

View File

@@ -1,3 +0,0 @@
torch
transformers
accelerate

View File

@@ -1,4 +1,6 @@
grpcio==1.65.5
grpcio==1.64.0
protobuf
torch
transformers
certifi
setuptools

View File

@@ -1,3 +0,0 @@
transformers
accelerate
torch

View File

@@ -1,4 +0,0 @@
--extra-index-url https://download.pytorch.org/whl/cu118
torch
transformers
accelerate

View File

@@ -1,3 +0,0 @@
torch
transformers
accelerate

View File

@@ -1,5 +1,7 @@
grpcio==1.65.4
accelerate
grpcio==1.64.0
protobuf
certifi
torch
wheel
setuptools

View File

@@ -1,2 +0,0 @@
causal-conv1d==1.4.0
mamba-ssm==2.2.2

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