feat(backends): add moonshine backend for faster transcription (#7833)

* feat(backends): add moonshine backend for faster transcription

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Add backend to CI, update AGENTS.md from this exercise

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
Ettore Di Giacinto
2026-01-07 21:44:35 +01:00
committed by GitHub
parent 0b26669d0b
commit b964b3d53e
13 changed files with 582 additions and 2 deletions

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@@ -78,6 +78,19 @@ jobs:
dockerfile: "./backend/Dockerfile.python"
context: "./"
ubuntu-version: '2404'
- build-type: ''
cuda-major-version: ""
cuda-minor-version: ""
platforms: 'linux/amd64'
tag-latest: 'auto'
tag-suffix: '-cpu-moonshine'
runs-on: 'ubuntu-latest'
base-image: "ubuntu:24.04"
skip-drivers: 'true'
backend: "moonshine"
dockerfile: "./backend/Dockerfile.python"
context: "./"
ubuntu-version: '2404'
# CUDA 12 builds
- build-type: 'cublas'
cuda-major-version: "12"
@@ -222,6 +235,19 @@ jobs:
dockerfile: "./backend/Dockerfile.python"
context: "./"
ubuntu-version: '2404'
- build-type: 'cublas'
cuda-major-version: "12"
cuda-minor-version: "9"
platforms: 'linux/amd64'
tag-latest: 'auto'
tag-suffix: '-gpu-nvidia-cuda-12-moonshine'
runs-on: 'ubuntu-latest'
base-image: "ubuntu:24.04"
skip-drivers: 'false'
backend: "moonshine"
dockerfile: "./backend/Dockerfile.python"
context: "./"
ubuntu-version: '2404'
- build-type: 'cublas'
cuda-major-version: "12"
cuda-minor-version: "9"
@@ -444,6 +470,19 @@ jobs:
dockerfile: "./backend/Dockerfile.python"
context: "./"
ubuntu-version: '2404'
- build-type: 'cublas'
cuda-major-version: "13"
cuda-minor-version: "0"
platforms: 'linux/amd64'
tag-latest: 'auto'
tag-suffix: '-gpu-nvidia-cuda-13-moonshine'
runs-on: 'ubuntu-latest'
base-image: "ubuntu:24.04"
skip-drivers: 'false'
backend: "moonshine"
dockerfile: "./backend/Dockerfile.python"
context: "./"
ubuntu-version: '2404'
- build-type: 'cublas'
cuda-major-version: "13"
cuda-minor-version: "0"

View File

@@ -247,3 +247,22 @@ jobs:
run: |
make --jobs=5 --output-sync=target -C backend/python/coqui
make --jobs=5 --output-sync=target -C backend/python/coqui test
tests-moonshine:
runs-on: ubuntu-latest
steps:
- name: Clone
uses: actions/checkout@v6
with:
submodules: true
- name: Dependencies
run: |
sudo apt-get update
sudo apt-get install build-essential ffmpeg
sudo apt-get install -y ca-certificates cmake curl patch python3-pip
# Install UV
curl -LsSf https://astral.sh/uv/install.sh | sh
pip install --user --no-cache-dir grpcio-tools==1.64.1
- name: Test moonshine
run: |
make --jobs=5 --output-sync=target -C backend/python/moonshine
make --jobs=5 --output-sync=target -C backend/python/moonshine test

144
AGENTS.md
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@@ -15,6 +15,150 @@ Let's say the user wants to build a particular backend for a given platform. For
- The user may say they want to build AMD or ROCM instead of hipblas, or Intel instead of SYCL or NVIDIA insted of l4t or cublas. Ask for confirmation if there is ambiguity.
- Sometimes the user may need extra parameters to be added to `docker build` (e.g. `--platform` for cross-platform builds or `--progress` to view the full logs), in which case you can generate the `docker build` command directly.
## Adding a New Backend
When adding a new backend to LocalAI, you need to update several files to ensure the backend is properly built, tested, and registered. Here's a step-by-step guide based on the pattern used for adding backends like `moonshine`:
### 1. Create Backend Directory Structure
Create the backend directory under the appropriate location:
- **Python backends**: `backend/python/<backend-name>/`
- **Go backends**: `backend/go/<backend-name>/`
- **C++ backends**: `backend/cpp/<backend-name>/`
For Python backends, you'll typically need:
- `backend.py` - Main gRPC server implementation
- `Makefile` - Build configuration
- `install.sh` - Installation script for dependencies
- `protogen.sh` - Protocol buffer generation script
- `requirements.txt` - Python dependencies
- `run.sh` - Runtime script
- `test.py` / `test.sh` - Test files
### 2. Add Build Configurations to `.github/workflows/backend.yml`
Add build matrix entries for each platform/GPU type you want to support. Look at similar backends (e.g., `chatterbox`, `faster-whisper`) for reference.
**Placement in file:**
- CPU builds: Add after other CPU builds (e.g., after `cpu-chatterbox`)
- CUDA 12 builds: Add after other CUDA 12 builds (e.g., after `gpu-nvidia-cuda-12-chatterbox`)
- CUDA 13 builds: Add after other CUDA 13 builds (e.g., after `gpu-nvidia-cuda-13-chatterbox`)
**Additional build types you may need:**
- ROCm/HIP: Use `build-type: 'hipblas'` with `base-image: "rocm/dev-ubuntu-24.04:6.4.4"`
- Intel/SYCL: Use `build-type: 'intel'` or `build-type: 'sycl_f16'`/`sycl_f32` with `base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"`
- L4T (ARM): Use `build-type: 'l4t'` with `platforms: 'linux/arm64'` and `runs-on: 'ubuntu-24.04-arm'`
### 3. Add Backend Metadata to `backend/index.yaml`
**Step 3a: Add Meta Definition**
Add a YAML anchor definition in the `## metas` section (around line 2-300). Look for similar backends to use as a template such as `diffusers` or `chatterbox`
**Step 3b: Add Image Entries**
Add image entries at the end of the file, following the pattern of similar backends such as `diffusers` or `chatterbox`. Include both `latest` (production) and `master` (development) tags.
### 4. Update the Makefile
The Makefile needs to be updated in several places to support building and testing the new backend:
**Step 4a: Add to `.NOTPARALLEL`**
Add `backends/<backend-name>` to the `.NOTPARALLEL` line (around line 2) to prevent parallel execution conflicts:
```makefile
.NOTPARALLEL: ... backends/<backend-name>
```
**Step 4b: Add to `prepare-test-extra`**
Add the backend to the `prepare-test-extra` target (around line 312) to prepare it for testing:
```makefile
prepare-test-extra: protogen-python
...
$(MAKE) -C backend/python/<backend-name>
```
**Step 4c: Add to `test-extra`**
Add the backend to the `test-extra` target (around line 319) to run its tests:
```makefile
test-extra: prepare-test-extra
...
$(MAKE) -C backend/python/<backend-name> test
```
**Step 4d: Add Backend Definition**
Add a backend definition variable in the backend definitions section (around line 428-457). The format depends on the backend type:
**For Python backends with root context** (like `faster-whisper`, `bark`):
```makefile
BACKEND_<BACKEND_NAME> = <backend-name>|python|.|false|true
```
**For Python backends with `./backend` context** (like `chatterbox`, `moonshine`):
```makefile
BACKEND_<BACKEND_NAME> = <backend-name>|python|./backend|false|true
```
**For Go backends**:
```makefile
BACKEND_<BACKEND_NAME> = <backend-name>|golang|.|false|true
```
**Step 4e: Generate Docker Build Target**
Add an eval call to generate the docker-build target (around line 480-501):
```makefile
$(eval $(call generate-docker-build-target,$(BACKEND_<BACKEND_NAME>)))
```
**Step 4f: Add to `docker-build-backends`**
Add `docker-build-<backend-name>` to the `docker-build-backends` target (around line 507):
```makefile
docker-build-backends: ... docker-build-<backend-name>
```
**Determining the Context:**
- If the backend is in `backend/python/<backend-name>/` and uses `./backend` as context in the workflow file, use `./backend` context
- If the backend is in `backend/python/<backend-name>/` but uses `.` as context in the workflow file, use `.` context
- Check similar backends to determine the correct context
### 5. Verification Checklist
After adding a new backend, verify:
- [ ] Backend directory structure is complete with all necessary files
- [ ] Build configurations added to `.github/workflows/backend.yml` for all desired platforms
- [ ] Meta definition added to `backend/index.yaml` in the `## metas` section
- [ ] Image entries added to `backend/index.yaml` for all build variants (latest + development)
- [ ] Tag suffixes match between workflow file and index.yaml
- [ ] Makefile updated with all 6 required changes (`.NOTPARALLEL`, `prepare-test-extra`, `test-extra`, backend definition, docker-build target eval, `docker-build-backends`)
- [ ] No YAML syntax errors (check with linter)
- [ ] No Makefile syntax errors (check with linter)
- [ ] Follows the same pattern as similar backends (e.g., if it's a transcription backend, follow `faster-whisper` pattern)
### 6. Example: Adding a Python Backend
For reference, when `moonshine` was added:
- **Files created**: `backend/python/moonshine/{backend.py, Makefile, install.sh, protogen.sh, requirements.txt, run.sh, test.py, test.sh}`
- **Workflow entries**: 3 build configurations (CPU, CUDA 12, CUDA 13)
- **Index entries**: 1 meta definition + 6 image entries (cpu, cuda12, cuda13 × latest/development)
- **Makefile updates**:
- Added to `.NOTPARALLEL` line
- Added to `prepare-test-extra` and `test-extra` targets
- Added `BACKEND_MOONSHINE = moonshine|python|./backend|false|true`
- Added eval for docker-build target generation
- Added `docker-build-moonshine` to `docker-build-backends`
# Coding style
- The project has the following .editorconfig

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@@ -1,5 +1,5 @@
# Disable parallel execution for backend builds
.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/piper backends/stablediffusion-ggml backends/whisper backends/faster-whisper backends/silero-vad backends/local-store backends/huggingface backends/rfdetr backends/kitten-tts backends/kokoro backends/chatterbox backends/llama-cpp-darwin backends/neutts build-darwin-python-backend build-darwin-go-backend backends/mlx backends/diffuser-darwin backends/mlx-vlm backends/mlx-audio backends/stablediffusion-ggml-darwin backends/vllm
.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/piper backends/stablediffusion-ggml backends/whisper backends/faster-whisper backends/silero-vad backends/local-store backends/huggingface backends/rfdetr backends/kitten-tts backends/kokoro backends/chatterbox backends/llama-cpp-darwin backends/neutts build-darwin-python-backend build-darwin-go-backend backends/mlx backends/diffuser-darwin backends/mlx-vlm backends/mlx-audio backends/stablediffusion-ggml-darwin backends/vllm backends/moonshine
GOCMD=go
GOTEST=$(GOCMD) test
@@ -315,6 +315,7 @@ prepare-test-extra: protogen-python
$(MAKE) -C backend/python/chatterbox
$(MAKE) -C backend/python/vllm
$(MAKE) -C backend/python/vibevoice
$(MAKE) -C backend/python/moonshine
test-extra: prepare-test-extra
$(MAKE) -C backend/python/transformers test
@@ -322,6 +323,7 @@ test-extra: prepare-test-extra
$(MAKE) -C backend/python/chatterbox test
$(MAKE) -C backend/python/vllm test
$(MAKE) -C backend/python/vibevoice test
$(MAKE) -C backend/python/moonshine test
DOCKER_IMAGE?=local-ai
DOCKER_AIO_IMAGE?=local-ai-aio
@@ -455,6 +457,7 @@ BACKEND_VLLM = vllm|python|./backend|false|true
BACKEND_DIFFUSERS = diffusers|python|./backend|--progress=plain|true
BACKEND_CHATTERBOX = chatterbox|python|./backend|false|true
BACKEND_VIBEVOICE = vibevoice|python|./backend|--progress=plain|true
BACKEND_MOONSHINE = moonshine|python|./backend|false|true
# Helper function to build docker image for a backend
# Usage: $(call docker-build-backend,BACKEND_NAME,DOCKERFILE_TYPE,BUILD_CONTEXT,PROGRESS_FLAG,NEEDS_BACKEND_ARG)
@@ -499,12 +502,13 @@ $(eval $(call generate-docker-build-target,$(BACKEND_VLLM)))
$(eval $(call generate-docker-build-target,$(BACKEND_DIFFUSERS)))
$(eval $(call generate-docker-build-target,$(BACKEND_CHATTERBOX)))
$(eval $(call generate-docker-build-target,$(BACKEND_VIBEVOICE)))
$(eval $(call generate-docker-build-target,$(BACKEND_MOONSHINE)))
# Pattern rule for docker-save targets
docker-save-%: backend-images
docker save local-ai-backend:$* -o backend-images/$*.tar
docker-build-backends: docker-build-llama-cpp docker-build-rerankers docker-build-vllm docker-build-transformers docker-build-diffusers docker-build-kokoro docker-build-faster-whisper docker-build-coqui docker-build-bark docker-build-chatterbox docker-build-vibevoice docker-build-exllama2
docker-build-backends: docker-build-llama-cpp docker-build-rerankers docker-build-vllm docker-build-transformers docker-build-diffusers docker-build-kokoro docker-build-faster-whisper docker-build-coqui docker-build-bark docker-build-chatterbox docker-build-vibevoice docker-build-exllama2 docker-build-moonshine
########################################################
### END Backends

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@@ -275,6 +275,24 @@
amd: "rocm-faster-whisper"
nvidia-cuda-13: "cuda13-faster-whisper"
nvidia-cuda-12: "cuda12-faster-whisper"
- &moonshine
description: |
Moonshine is a fast, accurate, and efficient speech-to-text transcription model using ONNX Runtime.
It provides real-time transcription capabilities with support for multiple model sizes and GPU acceleration.
urls:
- https://github.com/moonshine-ai/moonshine
tags:
- speech-to-text
- transcription
- ONNX
license: MIT
name: "moonshine"
alias: "moonshine"
capabilities:
nvidia: "cuda12-moonshine"
default: "cpu-moonshine"
nvidia-cuda-13: "cuda13-moonshine"
nvidia-cuda-12: "cuda12-moonshine"
- &kokoro
icon: https://avatars.githubusercontent.com/u/166769057?v=4
description: |
@@ -1315,6 +1333,44 @@
uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-faster-whisper"
mirrors:
- localai/localai-backends:master-gpu-nvidia-cuda-13-faster-whisper
## moonshine
- !!merge <<: *moonshine
name: "moonshine-development"
capabilities:
nvidia: "cuda12-moonshine-development"
default: "cpu-moonshine-development"
nvidia-cuda-13: "cuda13-moonshine-development"
nvidia-cuda-12: "cuda12-moonshine-development"
- !!merge <<: *moonshine
name: "cpu-moonshine"
uri: "quay.io/go-skynet/local-ai-backends:latest-cpu-moonshine"
mirrors:
- localai/localai-backends:latest-cpu-moonshine
- !!merge <<: *moonshine
name: "cpu-moonshine-development"
uri: "quay.io/go-skynet/local-ai-backends:master-cpu-moonshine"
mirrors:
- localai/localai-backends:master-cpu-moonshine
- !!merge <<: *moonshine
name: "cuda12-moonshine"
uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-moonshine"
mirrors:
- localai/localai-backends:latest-gpu-nvidia-cuda-12-moonshine
- !!merge <<: *moonshine
name: "cuda12-moonshine-development"
uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-12-moonshine"
mirrors:
- localai/localai-backends:master-gpu-nvidia-cuda-12-moonshine
- !!merge <<: *moonshine
name: "cuda13-moonshine"
uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-13-moonshine"
mirrors:
- localai/localai-backends:latest-gpu-nvidia-cuda-13-moonshine
- !!merge <<: *moonshine
name: "cuda13-moonshine-development"
uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-moonshine"
mirrors:
- localai/localai-backends:master-gpu-nvidia-cuda-13-moonshine
## coqui
- !!merge <<: *coqui

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@@ -0,0 +1,16 @@
.DEFAULT_GOAL := install
.PHONY: install
install:
bash install.sh
.PHONY: protogen-clean
protogen-clean:
$(RM) backend_pb2_grpc.py backend_pb2.py
.PHONY: clean
clean: protogen-clean
rm -rf venv __pycache__
test: install
bash test.sh

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@@ -0,0 +1,113 @@
#!/usr/bin/env python3
"""
This is an extra gRPC server of LocalAI for Moonshine transcription
"""
from concurrent import futures
import time
import argparse
import signal
import sys
import os
import backend_pb2
import backend_pb2_grpc
import moonshine_onnx
import grpc
_ONE_DAY_IN_SECONDS = 60 * 60 * 24
# 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'))
# Implement the BackendServicer class with the service methods
class BackendServicer(backend_pb2_grpc.BackendServicer):
"""
BackendServicer is the class that implements the gRPC service
"""
def Health(self, request, context):
return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
def LoadModel(self, request, context):
try:
print("Preparing models, please wait", file=sys.stderr)
# Store the model name for use in transcription
# Model name format: e.g., "moonshine/tiny"
self.model_name = request.Model
print(f"Model name set to: {self.model_name}", file=sys.stderr)
except Exception as err:
return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
return backend_pb2.Result(message="Model loaded successfully", success=True)
def AudioTranscription(self, request, context):
resultSegments = []
text = ""
try:
# moonshine_onnx.transcribe returns a list of strings
transcriptions = moonshine_onnx.transcribe(request.dst, self.model_name)
# Combine all transcriptions into a single text
if isinstance(transcriptions, list):
text = " ".join(transcriptions)
# Create segments for each transcription in the list
for id, trans in enumerate(transcriptions):
# Since moonshine doesn't provide timing info, we'll create a single segment
# with id and text, using approximate timing
resultSegments.append(backend_pb2.TranscriptSegment(
id=id,
start=0,
end=0,
text=trans
))
else:
# Handle case where it's not a list (shouldn't happen, but be safe)
text = str(transcriptions)
resultSegments.append(backend_pb2.TranscriptSegment(
id=0,
start=0,
end=0,
text=text
))
except Exception as err:
print(f"Unexpected {err=}, {type(err)=}", file=sys.stderr)
return backend_pb2.TranscriptResult(segments=[], text="")
return backend_pb2.TranscriptResult(segments=resultSegments, text=text)
def serve(address):
server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS),
options=[
('grpc.max_message_length', 50 * 1024 * 1024), # 50MB
('grpc.max_send_message_length', 50 * 1024 * 1024), # 50MB
('grpc.max_receive_message_length', 50 * 1024 * 1024), # 50MB
])
backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server)
server.add_insecure_port(address)
server.start()
print("Server started. Listening on: " + address, file=sys.stderr)
# Define the signal handler function
def signal_handler(sig, frame):
print("Received termination signal. Shutting down...")
server.stop(0)
sys.exit(0)
# Set the signal handlers for SIGINT and SIGTERM
signal.signal(signal.SIGINT, signal_handler)
signal.signal(signal.SIGTERM, signal_handler)
try:
while True:
time.sleep(_ONE_DAY_IN_SECONDS)
except KeyboardInterrupt:
server.stop(0)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Run the gRPC server.")
parser.add_argument(
"--addr", default="localhost:50051", help="The address to bind the server to."
)
args = parser.parse_args()
serve(args.addr)

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@@ -0,0 +1,12 @@
#!/bin/bash
set -e
backend_dir=$(dirname $0)
if [ -d $backend_dir/common ]; then
source $backend_dir/common/libbackend.sh
else
source $backend_dir/../common/libbackend.sh
fi
installRequirements

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@@ -0,0 +1,12 @@
#!/bin/bash
set -e
backend_dir=$(dirname $0)
if [ -d $backend_dir/common ]; then
source $backend_dir/common/libbackend.sh
else
source $backend_dir/../common/libbackend.sh
fi
python3 -m grpc_tools.protoc -I../.. -I./ --python_out=. --grpc_python_out=. backend.proto

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@@ -0,0 +1,4 @@
grpcio==1.71.0
protobuf
grpcio-tools
useful-moonshine-onnx@git+https://git@github.com/moonshine-ai/moonshine.git#subdirectory=moonshine-onnx

10
backend/python/moonshine/run.sh Executable file
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@@ -0,0 +1,10 @@
#!/bin/bash
backend_dir=$(dirname $0)
if [ -d $backend_dir/common ]; then
source $backend_dir/common/libbackend.sh
else
source $backend_dir/../common/libbackend.sh
fi
startBackend $@

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@@ -0,0 +1,139 @@
"""
A test script to test the gRPC service for Moonshine transcription
"""
import unittest
import subprocess
import time
import os
import tempfile
import shutil
import backend_pb2
import backend_pb2_grpc
import grpc
class TestBackendServicer(unittest.TestCase):
"""
TestBackendServicer is the class that tests the gRPC service
"""
def setUp(self):
"""
This method sets up the gRPC service by starting the server
"""
self.service = subprocess.Popen(["python3", "backend.py", "--addr", "localhost:50051"])
time.sleep(10)
def tearDown(self) -> None:
"""
This method tears down the gRPC service by terminating the server
"""
self.service.terminate()
self.service.wait()
def test_server_startup(self):
"""
This method tests if the server starts up successfully
"""
try:
self.setUp()
with grpc.insecure_channel("localhost:50051") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
response = stub.Health(backend_pb2.HealthMessage())
self.assertEqual(response.message, b'OK')
except Exception as err:
print(err)
self.fail("Server failed to start")
finally:
self.tearDown()
def test_load_model(self):
"""
This method tests if the model is loaded successfully
"""
try:
self.setUp()
with grpc.insecure_channel("localhost:50051") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
response = stub.LoadModel(backend_pb2.ModelOptions(Model="moonshine/tiny"))
self.assertTrue(response.success)
self.assertEqual(response.message, "Model loaded successfully")
except Exception as err:
print(err)
self.fail("LoadModel service failed")
finally:
self.tearDown()
def test_audio_transcription(self):
"""
This method tests if audio transcription works successfully
"""
# Create a temporary directory for the audio file
temp_dir = tempfile.mkdtemp()
audio_file = os.path.join(temp_dir, 'audio.wav')
try:
# Download the audio file to the temporary directory
print(f"Downloading audio file to {audio_file}...")
url = "https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav"
result = subprocess.run(
["wget", "-q", url, "-O", audio_file],
capture_output=True,
text=True
)
if result.returncode != 0:
self.fail(f"Failed to download audio file: {result.stderr}")
# Verify the file was downloaded
if not os.path.exists(audio_file):
self.fail(f"Audio file was not downloaded to {audio_file}")
self.setUp()
with grpc.insecure_channel("localhost:50051") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
# Load the model first
load_response = stub.LoadModel(backend_pb2.ModelOptions(Model="moonshine/tiny"))
self.assertTrue(load_response.success)
# Perform transcription
transcript_request = backend_pb2.TranscriptRequest(dst=audio_file)
transcript_response = stub.AudioTranscription(transcript_request)
# Print the transcribed text for debugging
print(f"Transcribed text: {transcript_response.text}")
print(f"Number of segments: {len(transcript_response.segments)}")
# Verify response structure
self.assertIsNotNone(transcript_response)
self.assertIsNotNone(transcript_response.text)
# Protobuf repeated fields return a sequence, not a list
self.assertIsNotNone(transcript_response.segments)
# Check if segments is iterable (has length)
self.assertGreaterEqual(len(transcript_response.segments), 0)
# Verify the transcription contains the expected text
expected_text = "This is the micro machine man presenting the most midget miniature"
self.assertIn(
expected_text.lower(),
transcript_response.text.lower(),
f"Expected text '{expected_text}' not found in transcription: '{transcript_response.text}'"
)
# If we got segments, verify they have the expected structure
if len(transcript_response.segments) > 0:
segment = transcript_response.segments[0]
self.assertIsNotNone(segment.text)
self.assertIsInstance(segment.id, int)
else:
# Even if no segments, we should have text
self.assertIsNotNone(transcript_response.text)
self.assertGreater(len(transcript_response.text), 0)
except Exception as err:
print(err)
self.fail("AudioTranscription service failed")
finally:
self.tearDown()
# Clean up the temporary directory
if os.path.exists(temp_dir):
shutil.rmtree(temp_dir)

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@@ -0,0 +1,12 @@
#!/bin/bash
set -e
backend_dir=$(dirname $0)
if [ -d $backend_dir/common ]; then
source $backend_dir/common/libbackend.sh
else
source $backend_dir/../common/libbackend.sh
fi
runUnittests