Add ComfyUI models documentation and download script

- Complete MODELS.md with detailed model descriptions - Interactive download script for 5+ specialized SDXL models - Updated README with model selection guide - Fix docker-compose volumes path (/root/ComfyUI) - API workflows for OpenWebUI integration Models documented: - RealVisXL (portraits) - Juggernaut XL (versatile) - DreamShaper (art/fantasy) - SDXL Lightning (fast) - Proteus (realism)
2026-04-06 01:05:18 +02:00
parent ad2f7bb221
commit 97348e9a12
21 changed files with 23379 additions and 18 deletions
@@ -0,0 +1,56 @@
+#!/usr/bin/env python3
+"""
+Proxy OpenAI API pour whisper-asr-webservice
+Traduit les requêtes OpenAI (/v1/audio/transcriptions) vers /asr
+"""
+
+from flask import Flask, request, jsonify
+import requests
+import tempfile
+import os
+
+app = Flask(__name__)
+WHISPER_URL = "http://localhost:9000/asr"  # URL interne du container
+
+@app.route('/health', methods=['GET'])
+def health():
+    return jsonify({"status": "healthy"})
+
+@app.route('/v1/audio/transcriptions', methods=['POST'])
+def transcribe():
+    try:
+        # Récupérer le fichier audio
+        if 'file' not in request.files:
+            return jsonify({"error": "No file provided"}), 400
+        
+        audio_file = request.files['file']
+        language = request.form.get('language', 'fr')
+        
+        # Sauvegarder temporairement
+        with tempfile.NamedTemporaryFile(delete=False, suffix='.mp3') as tmp:
+            audio_file.save(tmp.name)
+            
+            # Appeler whisper-asr-webservice
+            with open(tmp.name, 'rb') as f:
+                response = requests.post(
+                    WHISPER_URL,
+                    files={'audio_file': f},
+                    params={'language': language, 'output': 'json'}
+                )
+            
+            os.unlink(tmp.name)
+        
+        if response.status_code == 200:
+            result = response.json()
+            # Format OpenAI : { "text": "..." }
+            return jsonify({"text": result.get('text', '')})
+        else:
+            return jsonify({"error": "Transcription failed"}), 500
+            
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+if __name__ == '__main__':
+    print("🎙️ Proxy STT démarré sur http://0.0.0.0:8201")
+    print("   Redirige vers whisper-asr-webservice sur http://localhost:9000/asr")
+    app.run(host='0.0.0.0', port=8201, threaded=True)