chore(gallery agent): various fixups (#7697)

* chore(ci/agent): fix formatting issues

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

* chore: get icon from readme/hf and prepend to the gallery file

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
2025-12-22 23:46:40 +01:00
committed by GitHub
parent 07c80fba88
commit 31f4e0c46d
4 changed files with 310 additions and 116 deletions

View File

@@ -2,7 +2,10 @@ package main
import (
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"os"
"regexp"
"slices"
@@ -229,71 +232,192 @@ Return your analysis and selection reasoning.`)
return filteredModels, nil
}
// ModelFamily represents a YAML anchor/family
type ModelFamily struct {
Anchor string `json:"anchor"`
Name string `json:"name"`
// ModelMetadata represents extracted metadata from a model
type ModelMetadata struct {
Tags []string `json:"tags"`
License string `json:"license"`
}
// selectModelFamily selects the appropriate model family/anchor for a given model
func selectModelFamily(ctx context.Context, model ProcessedModel, availableFamilies []ModelFamily) (string, error) {
// extractModelMetadata extracts tags and license from model README and documentation
func extractModelMetadata(ctx context.Context, model ProcessedModel) ([]string, string, error) {
// Create a conversation fragment
fragment := cogito.NewEmptyFragment().
AddMessage("user",
`Your task is to select the most appropriate model family/anchor for a given AI model. You will be provided with:
1. Information about the model (name, description, etc.)
2. A list of available model families/anchors
`Your task is to extract metadata from an AI model's README and documentation. You will be provided with:
1. Model information (ID, author, description)
2. README content
You need to select the family that best matches the model's architecture, capabilities, or characteristics. Consider:
- Model architecture (e.g., Llama, Qwen, Mistral, etc.)
- Model capabilities (e.g., vision, coding, chat, etc.)
- Model size/type (e.g., small, medium, large)
- Model purpose (e.g., general purpose, specialized, etc.)
You need to extract:
1. **Tags**: An array of relevant tags that describe the model. Use common tags from the gallery such as:
- llm, gguf, gpu, cpu, multimodal, image-to-text, text-to-text, text-to-speech, tts
- thinking, reasoning, chat, instruction-tuned, code, vision
- Model family names (e.g., llama, qwen, mistral, gemma) if applicable
- Any other relevant descriptive tags
Select 3-8 most relevant tags.
Return the anchor name that best fits the model.`)
2. **License**: The license identifier (e.g., "apache-2.0", "mit", "llama2", "gpl-3.0", "bsd", "cc-by-4.0").
If no license is found, return an empty string.
Return the extracted metadata in a structured format.`)
// Add model information
modelInfo := "Model Information:\n"
modelInfo += fmt.Sprintf(" ID: %s\n", model.ModelID)
modelInfo += fmt.Sprintf(" Author: %s\n", model.Author)
modelInfo += fmt.Sprintf(" Downloads: %d\n", model.Downloads)
modelInfo += fmt.Sprintf(" Description: %s\n", model.ReadmeContentPreview)
fragment = fragment.AddMessage("user", modelInfo)
// Add available families
familiesInfo := "Available Model Families:\n"
for _, family := range availableFamilies {
familiesInfo += fmt.Sprintf(" - %s (%s)\n", family.Anchor, family.Name)
if model.ReadmeContent != "" {
modelInfo += fmt.Sprintf(" README Content:\n%s\n", model.ReadmeContent)
} else if model.ReadmeContentPreview != "" {
modelInfo += fmt.Sprintf(" README Preview: %s\n", model.ReadmeContentPreview)
}
fragment = fragment.AddMessage("user", familiesInfo)
fragment = fragment.AddMessage("user", "Select the most appropriate family anchor for this model. Return just the anchor name.")
fragment = fragment.AddMessage("user", modelInfo)
fragment = fragment.AddMessage("user", "Extract the tags and license from the model information. Return the metadata as a JSON object with 'tags' (array of strings) and 'license' (string).")
// Get a response
newFragment, err := llm.Ask(ctx, fragment)
if err != nil {
return "", err
return nil, "", err
}
// Extract the selected family
selectedFamily := strings.TrimSpace(newFragment.LastMessage().Content)
// Extract structured metadata
metadata := ModelMetadata{}
// Validate that the selected family exists in our list
for _, family := range availableFamilies {
if family.Anchor == selectedFamily {
return selectedFamily, nil
}
s := structures.Structure{
Schema: jsonschema.Definition{
Type: jsonschema.Object,
AdditionalProperties: false,
Properties: map[string]jsonschema.Definition{
"tags": {
Type: jsonschema.Array,
Items: &jsonschema.Definition{Type: jsonschema.String},
Description: "Array of relevant tags describing the model",
},
"license": {
Type: jsonschema.String,
Description: "License identifier (e.g., apache-2.0, mit, llama2). Empty string if not found.",
},
},
Required: []string{"tags", "license"},
},
Object: &metadata,
}
// If no exact match, try to find a close match
for _, family := range availableFamilies {
if strings.Contains(strings.ToLower(family.Anchor), strings.ToLower(selectedFamily)) ||
strings.Contains(strings.ToLower(selectedFamily), strings.ToLower(family.Anchor)) {
return family.Anchor, nil
}
err = newFragment.ExtractStructure(ctx, llm, s)
if err != nil {
return nil, "", err
}
// Default fallback
return "llama3", nil
return metadata.Tags, metadata.License, nil
}
// extractIconFromReadme scans the README content for image URLs and returns the first suitable icon URL found
func extractIconFromReadme(readmeContent string) string {
if readmeContent == "" {
return ""
}
// Regular expressions to match image URLs in various formats (case-insensitive)
// Match markdown image syntax: ![alt](url) - case insensitive extensions
markdownImageRegex := regexp.MustCompile(`(?i)!\[[^\]]*\]\(([^)]+\.(png|jpg|jpeg|svg|webp|gif))\)`)
// Match HTML img tags: <img src="url">
htmlImageRegex := regexp.MustCompile(`(?i)<img[^>]+src=["']([^"']+\.(png|jpg|jpeg|svg|webp|gif))["']`)
// Match plain URLs ending with image extensions
plainImageRegex := regexp.MustCompile(`(?i)https?://[^\s<>"']+\.(png|jpg|jpeg|svg|webp|gif)`)
// Try markdown format first
matches := markdownImageRegex.FindStringSubmatch(readmeContent)
if len(matches) > 1 && matches[1] != "" {
url := strings.TrimSpace(matches[1])
// Prefer HuggingFace CDN URLs or absolute URLs
if strings.HasPrefix(strings.ToLower(url), "http") {
return url
}
}
// Try HTML img tags
matches = htmlImageRegex.FindStringSubmatch(readmeContent)
if len(matches) > 1 && matches[1] != "" {
url := strings.TrimSpace(matches[1])
if strings.HasPrefix(strings.ToLower(url), "http") {
return url
}
}
// Try plain URLs
matches = plainImageRegex.FindStringSubmatch(readmeContent)
if len(matches) > 0 {
url := strings.TrimSpace(matches[0])
if strings.HasPrefix(strings.ToLower(url), "http") {
return url
}
}
return ""
}
// getHuggingFaceAvatarURL attempts to get the HuggingFace avatar URL for a user
func getHuggingFaceAvatarURL(author string) string {
if author == "" {
return ""
}
// Try to fetch user info from HuggingFace API
// HuggingFace API endpoint: https://huggingface.co/api/users/{username}
baseURL := "https://huggingface.co"
userURL := fmt.Sprintf("%s/api/users/%s", baseURL, author)
req, err := http.NewRequest("GET", userURL, nil)
if err != nil {
return ""
}
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
return ""
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return ""
}
// Parse the response to get avatar URL
var userInfo map[string]interface{}
body, err := io.ReadAll(resp.Body)
if err != nil {
return ""
}
if err := json.Unmarshal(body, &userInfo); err != nil {
return ""
}
// Try to extract avatar URL from response
if avatar, ok := userInfo["avatarUrl"].(string); ok && avatar != "" {
return avatar
}
if avatar, ok := userInfo["avatar"].(string); ok && avatar != "" {
return avatar
}
return ""
}
// extractModelIcon extracts icon URL from README or falls back to HuggingFace avatar
func extractModelIcon(model ProcessedModel) string {
// First, try to extract icon from README
if icon := extractIconFromReadme(model.ReadmeContent); icon != "" {
return icon
}
// Fallback: Try to get HuggingFace user avatar
if model.Author != "" {
if avatar := getHuggingFaceAvatarURL(model.Author); avatar != "" {
return avatar
}
}
return ""
}

View File

@@ -12,15 +12,36 @@ import (
)
func formatTextContent(text string) string {
return formatTextContentWithIndent(text, 4, 6)
}
// formatTextContentWithIndent formats text content with specified base and list item indentation
func formatTextContentWithIndent(text string, baseIndent int, listItemIndent int) string {
var formattedLines []string
lines := strings.Split(text, "\n")
for _, line := range lines {
if strings.TrimSpace(line) == "" {
trimmed := strings.TrimRight(line, " \t\r")
if trimmed == "" {
// Keep empty lines as empty (no indentation)
formattedLines = append(formattedLines, "")
} else {
// Add indentation to non-empty lines
formattedLines = append(formattedLines, " "+line)
// Preserve relative indentation from yaml.Marshal output
// Count existing leading spaces to preserve relative structure
leadingSpaces := len(trimmed) - len(strings.TrimLeft(trimmed, " \t"))
trimmedStripped := strings.TrimLeft(trimmed, " \t")
var totalIndent int
if strings.HasPrefix(trimmedStripped, "-") {
// List items: use listItemIndent (ignore existing leading spaces)
totalIndent = listItemIndent
} else {
// Regular lines: use baseIndent + preserve relative indentation
// This handles both top-level keys (leadingSpaces=0) and nested properties (leadingSpaces>0)
totalIndent = baseIndent + leadingSpaces
}
indentStr := strings.Repeat(" ", totalIndent)
formattedLines = append(formattedLines, indentStr+trimmedStripped)
}
}
formattedText := strings.Join(formattedLines, "\n")
@@ -30,7 +51,7 @@ func formatTextContent(text string) string {
}
// generateYAMLEntry generates a YAML entry for a model using the specified anchor
func generateYAMLEntry(model ProcessedModel, familyAnchor string, quantization string) string {
func generateYAMLEntry(model ProcessedModel, quantization string) string {
modelConfig, err := importers.DiscoverModelConfig("https://huggingface.co/"+model.ModelID, json.RawMessage(`{ "quantization": "`+quantization+`"}`))
if err != nil {
panic(err)
@@ -62,103 +83,81 @@ func generateYAMLEntry(model ProcessedModel, familyAnchor string, quantization s
filesYAML, _ := yaml.Marshal(modelConfig.Files)
files := formatTextContent(string(filesYAML))
// Files section: list items need 4 spaces (not 6), since files: is at 2 spaces
files := formatTextContentWithIndent(string(filesYAML), 4, 4)
// Build metadata sections
var metadataSections []string
// Add license if present
if model.License != "" {
metadataSections = append(metadataSections, fmt.Sprintf(` license: "%s"`, model.License))
}
// Add tags if present
if len(model.Tags) > 0 {
tagsYAML, _ := yaml.Marshal(model.Tags)
tagsFormatted := formatTextContentWithIndent(string(tagsYAML), 4, 4)
tagsFormatted = strings.TrimRight(tagsFormatted, "\n")
metadataSections = append(metadataSections, fmt.Sprintf(" tags:\n%s", tagsFormatted))
}
// Add icon if present
if model.Icon != "" {
metadataSections = append(metadataSections, fmt.Sprintf(` icon: %s`, model.Icon))
}
// Build the metadata block
metadataBlock := ""
if len(metadataSections) > 0 {
metadataBlock = strings.Join(metadataSections, "\n") + "\n"
}
yamlTemplate := ""
yamlTemplate = `- !!merge <<: *%s
name: "%s"
yamlTemplate = `- name: "%s"
urls:
- https://huggingface.co/%s
description: |
%s
%s%s
overrides:
%s
files:
%s`
// Trim trailing newlines from formatted sections to prevent extra blank lines
formattedDescription = strings.TrimRight(formattedDescription, "\n")
configFile = strings.TrimRight(configFile, "\n")
files = strings.TrimRight(files, "\n")
// Add newline before metadata block if present
if metadataBlock != "" {
metadataBlock = "\n" + strings.TrimRight(metadataBlock, "\n")
}
return fmt.Sprintf(yamlTemplate,
familyAnchor,
modelName,
model.ModelID,
formattedDescription,
metadataBlock,
configFile,
files,
)
}
// extractModelFamilies extracts all YAML anchors from the gallery index.yaml file
func extractModelFamilies() ([]ModelFamily, error) {
// Read the index.yaml file
indexPath := getGalleryIndexPath()
content, err := os.ReadFile(indexPath)
if err != nil {
return nil, fmt.Errorf("failed to read %s: %w", indexPath, err)
}
lines := strings.Split(string(content), "\n")
var families []ModelFamily
for _, line := range lines {
line = strings.TrimSpace(line)
// Look for YAML anchors (lines starting with "- &")
if strings.HasPrefix(line, "- &") {
// Extract the anchor name (everything after "- &")
anchor := strings.TrimPrefix(line, "- &")
// Remove any trailing colon or other characters
anchor = strings.Split(anchor, ":")[0]
anchor = strings.Split(anchor, " ")[0]
if anchor != "" {
families = append(families, ModelFamily{
Anchor: anchor,
Name: anchor, // Use anchor as name for now
})
}
}
}
return families, nil
}
// generateYAMLForModels generates YAML entries for selected models and appends to index.yaml
func generateYAMLForModels(ctx context.Context, models []ProcessedModel, quantization string) error {
// Extract available model families
families, err := extractModelFamilies()
if err != nil {
return fmt.Errorf("failed to extract model families: %w", err)
}
fmt.Printf("Found %d model families: %v\n", len(families),
func() []string {
var names []string
for _, f := range families {
names = append(names, f.Anchor)
}
return names
}())
// Generate YAML entries for each model
var yamlEntries []string
for _, model := range models {
fmt.Printf("Selecting family for model: %s\n", model.ModelID)
// Select appropriate family for this model
familyAnchor, err := selectModelFamily(ctx, model, families)
if err != nil {
fmt.Printf("Error selecting family for %s: %v, using default\n", model.ModelID, err)
familyAnchor = "llama3" // Default fallback
}
fmt.Printf("Selected family '%s' for model %s\n", familyAnchor, model.ModelID)
fmt.Printf("Generating YAML entry for model: %s\n", model.ModelID)
// Generate YAML entry
yamlEntry := generateYAMLEntry(model, familyAnchor, quantization)
yamlEntry := generateYAMLEntry(model, quantization)
yamlEntries = append(yamlEntries, yamlEntry)
}
// Append to index.yaml
// Prepend to index.yaml (write at the top)
if len(yamlEntries) > 0 {
indexPath := getGalleryIndexPath()
fmt.Printf("Appending YAML entries to %s...\n", indexPath)
fmt.Printf("Prepending YAML entries to %s...\n", indexPath)
// Read current content
content, err := os.ReadFile(indexPath)
@@ -166,11 +165,26 @@ func generateYAMLForModels(ctx context.Context, models []ProcessedModel, quantiz
return fmt.Errorf("failed to read %s: %w", indexPath, err)
}
// Append new entries
// Remove trailing whitespace from existing content and join entries without extra newlines
existingContent := strings.TrimRight(string(content), " \t\n\r")
existingContent := string(content)
yamlBlock := strings.Join(yamlEntries, "\n")
newContent := existingContent + "\n" + yamlBlock + "\n"
// Check if file starts with "---"
var newContent string
if strings.HasPrefix(existingContent, "---\n") {
// File starts with "---", prepend new entries after it
restOfContent := strings.TrimPrefix(existingContent, "---\n")
// Ensure proper spacing: "---\n" + new entries + "\n" + rest of content
newContent = "---\n" + yamlBlock + "\n" + restOfContent
} else if strings.HasPrefix(existingContent, "---") {
// File starts with "---" but no newline after
restOfContent := strings.TrimPrefix(existingContent, "---")
newContent = "---\n" + yamlBlock + "\n" + strings.TrimPrefix(restOfContent, "\n")
} else {
// No "---" at start, prepend new entries at the very beginning
// Trim leading whitespace from existing content
existingContent = strings.TrimLeft(existingContent, " \t\n\r")
newContent = yamlBlock + "\n" + existingContent
}
// Write back to file
err = os.WriteFile(indexPath, []byte(newContent), 0644)
@@ -178,7 +192,7 @@ func generateYAMLForModels(ctx context.Context, models []ProcessedModel, quantiz
return fmt.Errorf("failed to write %s: %w", indexPath, err)
}
fmt.Printf("Successfully added %d models to %s\n", len(yamlEntries), indexPath)
fmt.Printf("Successfully prepended %d models to %s\n", len(yamlEntries), indexPath)
}
return nil

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@@ -34,6 +34,9 @@ type ProcessedModel struct {
ReadmeContentPreview string `json:"readme_content_preview,omitempty"`
QuantizationPreferences []string `json:"quantization_preferences"`
ProcessingError string `json:"processing_error,omitempty"`
Tags []string `json:"tags,omitempty"`
License string `json:"license,omitempty"`
Icon string `json:"icon,omitempty"`
}
// SearchResult represents the complete result of searching and processing models
@@ -315,6 +318,25 @@ func searchAndProcessModels(searchTerm string, limit int, quantization string) (
continue
}
fmt.Println("Real readme got", readmeContent)
// Extract metadata (tags, license) from README using LLM
fmt.Println("Extracting metadata for", model.ModelID, "waiting...")
tags, license, err := extractModelMetadata(context.Background(), processedModel)
if err == nil {
processedModel.Tags = tags
processedModel.License = license
outputBuilder.WriteString(fmt.Sprintf(" Tags: %v\n", tags))
outputBuilder.WriteString(fmt.Sprintf(" License: %s\n", license))
} else {
fmt.Printf(" Warning: Failed to extract metadata: %v\n", err)
}
// Extract icon from README or use HuggingFace avatar
icon := extractModelIcon(processedModel)
if icon != "" {
processedModel.Icon = icon
outputBuilder.WriteString(fmt.Sprintf(" Icon: %s\n", icon))
}
// Get README content
// readmeContent, err := client.GetReadmeContent(model.ModelID, details.ReadmeFile.Path)
// if err == nil {

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@@ -138,6 +138,25 @@ func (g *SyntheticDataGenerator) GenerateProcessedModel() ProcessedModel {
readmeContent := g.generateReadmeContent(modelName, author)
// Generate sample metadata
licenses := []string{"apache-2.0", "mit", "llama2", "gpl-3.0", "bsd", ""}
license := licenses[g.rand.Intn(len(licenses))]
sampleTags := []string{"llm", "gguf", "gpu", "cpu", "text-to-text", "chat", "instruction-tuned"}
numTags := g.rand.Intn(4) + 3 // 3-6 tags
tags := make([]string, numTags)
for i := 0; i < numTags; i++ {
tags[i] = sampleTags[g.rand.Intn(len(sampleTags))]
}
// Remove duplicates
tags = g.removeDuplicates(tags)
// Optionally include icon (50% chance)
icon := ""
if g.rand.Intn(2) == 0 {
icon = fmt.Sprintf("https://cdn-avatars.huggingface.co/v1/production/uploads/%s.png", g.randomString(24))
}
return ProcessedModel{
ModelID: modelID,
Author: author,
@@ -150,6 +169,9 @@ func (g *SyntheticDataGenerator) GenerateProcessedModel() ProcessedModel {
ReadmeContentPreview: truncateString(readmeContent, 200),
QuantizationPreferences: []string{"Q4_K_M", "Q4_K_S", "Q3_K_M", "Q2_K"},
ProcessingError: "",
Tags: tags,
License: license,
Icon: icon,
}
}
@@ -179,6 +201,18 @@ func (g *SyntheticDataGenerator) randomDate() string {
return pastDate.Format("2006-01-02T15:04:05.000Z")
}
func (g *SyntheticDataGenerator) removeDuplicates(slice []string) []string {
keys := make(map[string]bool)
result := []string{}
for _, item := range slice {
if !keys[item] {
keys[item] = true
result = append(result, item)
}
}
return result
}
func (g *SyntheticDataGenerator) generateReadmeContent(modelName, author string) string {
templates := []string{
fmt.Sprintf("# %s Model\n\nThis is a %s model developed by %s. It's designed for various natural language processing tasks including text generation, question answering, and conversation.\n\n## Features\n\n- High-quality text generation\n- Efficient inference\n- Multiple quantization options\n- Easy to use with LocalAI\n\n## Usage\n\nUse this model with LocalAI for various AI tasks.", strings.Title(modelName), modelName, author),