Update app.py

app.py

@@ -1,42 +1,41 @@
 from fastapi import FastAPI, HTTPException
-   from pydantic import BaseModel
-   from typing import Optional
-   from huggingface_hub import InferenceClient
-   import uvicorn
-
-   app = FastAPI()
-
-   client = InferenceClient("scb10x/llama-3-typhoon-v1.5-8b-instruct")
-
-   class Query(BaseModel):
-       queryResult: Optional[dict] = None
-       queryText: Optional[str] = None
-
-   @app.post("/webhook")  # ตรวจสอบให้แน่ใจว่าใช้ @app.post
-   async def webhook(query: Query):
-       try:
-           user_query = query.queryResult.get('queryText') if query.queryResult else query.queryText
-           
-           if not user_query:
-               raise HTTPException(status_code=400, detail="No query text provided")
-
-           messages = [
-               {"role": "system", "content": "You are a friendly Chatbot."},
-               {"role": "user", "content": user_query}
-           ]
-
-           response = client.chat_completion(
-               messages,
-               max_tokens=512,
-               temperature=0.7,
-               top_p=0.95,
-           )
-
-           model_reply = response.choices[0].message.content.strip()
-           
-           return {"fulfillmentText": model_reply}
-       except Exception as e:
-           raise HTTPException(status_code=500, detail=str(e))
-
-   if __name__ == "__main__":
-       uvicorn.run(app, host="0.0.0.0", port=7860)
+from pydantic import BaseModel
+from typing import Optional
+from huggingface_hub import InferenceClient
+import uvicorn
+
+app = FastAPI()
+client = InferenceClient("scb10x/llama-3-typhoon-v1.5-8b-instruct")
+
+class Query(BaseModel):
+    queryResult: Optional[dict] = None
+    queryText: Optional[str] = None
+
+@app.post("/webhook")
+async def webhook(query: Query):
+    try:
+        user_query = query.queryResult.get('queryText') if query.queryResult else query.queryText
+        
+        if not user_query:
+            raise HTTPException(status_code=400, detail="No query text provided")
+        
+        messages = [
+            {"role": "system", "content": "You are a friendly Chatbot."},
+            {"role": "user", "content": user_query}
+        ]
+        
+        response = client.chat_completion(
+            messages,
+            max_tokens=512,
+            temperature=0.7,
+            top_p=0.95,
+        )
+        
+        model_reply = response.choices[0].message.content.strip()
+        
+        return {"fulfillmentText": model_reply}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=7860)