Update app.py
Browse files
app.py
CHANGED
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@@ -27,7 +27,6 @@ app.add_middleware(
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allow_headers=["*"],
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)
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HF_TOKEN = os.getenv("REACT_APP_HF_TOKEN")
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@app.get("/invert")
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async def invert(text: str):
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@@ -36,25 +35,41 @@ async def invert(text: str):
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"inverted": text[::-1],
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}
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@app.post("/api/chat")
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async def chat(request: Request):
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data = await request.json()
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user_message = data.get("message", "")
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@app.get("/data")
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allow_headers=["*"],
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)
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@app.get("/invert")
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async def invert(text: str):
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"inverted": text[::-1],
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}
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HF_TOKEN = os.getenv("REACT_APP_HF_TOKEN")
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if not HF_TOKEN:
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raise RuntimeError("Le token Hugging Face (HF_TOKEN) n'est pas défini dans les variables d'environnement.")
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# Initialisation du client HF
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hf_client = InferenceClient(
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provider="novita",
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api_key=HF_TOKEN,
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)
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@app.post("/api/chat")
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async def chat(request: Request):
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data = await request.json()
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user_message = data.get("message", "").strip()
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if not user_message:
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raise HTTPException(status_code=400, detail="Le champ 'message' est requis.")
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try:
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# Appel au modèle en mode chat
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completion = hf_client.chat.completions.create(
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model="mistralai/Mistral-7B-Instruct-v0.3",
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messages=[
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{"role": "system", "content": "Tu es un assistant médical spécialisé en schizophrénie."},
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{"role": "user", "content": user_message}
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],
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max_tokens=512,
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temperature=0.7,
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)
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bot_msg = completion.choices[0].message.content
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return {"response": bot_msg}
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except Exception as e:
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# En cas d'erreur d'inférence
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raise HTTPException(status_code=502, detail=f"Erreur d'inférence HF : {e}")
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@app.get("/data")
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