Update app.py

app.py

@@ -440,43 +440,7 @@ async def synthesize_voice(request: VoiceOutputRequest):
         logger.error(f"Error in voice synthesis: {e}")
         raise HTTPException(status_code=500, detail="Error generating voice output")
 
-@app.post("/upload")
-async def upload_and_analyze_file(file: UploadFile = File(...), format: str = Form("clean")):
-    try:
-        # 1. Read file content
-        contents = await file.read()
-        filename = file.filename.lower()
-
-        # 2. Extract text depending on file type
-        if filename.endswith(".pdf"):
-            import fitz  # PyMuPDF
-            doc = fitz.open(stream=contents, filetype="pdf")
-            text = "\n".join([page.get_text() for page in doc])
-        elif filename.endswith(".txt"):
-            text = contents.decode("utf-8", errors="ignore")
-        elif filename.endswith(".csv"):
-            import pandas as pd
-            df = pd.read_csv(io.BytesIO(contents))
-            text = df.to_string()
-        elif filename.endswith(".xlsx"):
-            import pandas as pd
-            df = pd.read_excel(io.BytesIO(contents))
-            text = df.to_string()
-        else:
-            raise HTTPException(status_code=400, detail="Unsupported file type")
 
-        # 3. Send to TxAgent
-        message = (
-            f"You are a clinical assistant AI.\n\n"
-            f"Analyze the following patient document:\n\n{text[:10000]}"
-        )
-        response = agent.chat(message=message, history=[], temperature=0.7, max_new_tokens=1024)
-
-        return {"status": "success", "filename": file.filename, "response": response}
-
-    except Exception as e:
-        logger.error(f"File upload + analysis failed: {e}")
-        raise HTTPException(status_code=500, detail="Failed to process and analyze the file")
 
 
 @app.post("/voice/chat")