Folzo
97348e9a12
- 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)
57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
#!/usr/bin/env python3
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"""
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Proxy OpenAI API pour whisper-asr-webservice
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Traduit les requêtes OpenAI (/v1/audio/transcriptions) vers /asr
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"""
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from flask import Flask, request, jsonify
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import requests
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import tempfile
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import os
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app = Flask(__name__)
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WHISPER_URL = "http://localhost:9000/asr" # URL interne du container
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@app.route('/health', methods=['GET'])
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def health():
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return jsonify({"status": "healthy"})
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@app.route('/v1/audio/transcriptions', methods=['POST'])
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def transcribe():
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try:
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# Récupérer le fichier audio
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if 'file' not in request.files:
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return jsonify({"error": "No file provided"}), 400
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audio_file = request.files['file']
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language = request.form.get('language', 'fr')
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# Sauvegarder temporairement
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with tempfile.NamedTemporaryFile(delete=False, suffix='.mp3') as tmp:
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audio_file.save(tmp.name)
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# Appeler whisper-asr-webservice
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with open(tmp.name, 'rb') as f:
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response = requests.post(
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WHISPER_URL,
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files={'audio_file': f},
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params={'language': language, 'output': 'json'}
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)
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os.unlink(tmp.name)
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if response.status_code == 200:
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result = response.json()
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# Format OpenAI : { "text": "..." }
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return jsonify({"text": result.get('text', '')})
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else:
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return jsonify({"error": "Transcription failed"}), 500
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except Exception as e:
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return jsonify({"error": str(e)}), 500
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if __name__ == '__main__':
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print("🎙️ Proxy STT démarré sur http://0.0.0.0:8201")
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print(" Redirige vers whisper-asr-webservice sur http://localhost:9000/asr")
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app.run(host='0.0.0.0', port=8201, threaded=True)
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