Update main.py

main.py

@@ -29,30 +29,11 @@ async def read_root():
 
 @app.get("/form/")
 async def show_form():
-    request: Request,
-    prg: float = Query(..., description="Plasma glucose"),
-    pl: float = Query(..., description="Blood Work Result-1 (mu U/ml)"),
-    pr: float = Query(..., description="Blood Pressure (mm Hg)"),
-    sk: float = Query(..., description="Blood Work Result-2 (mm)"),
-    ts: float = Query(..., description="Blood Work Result-3 (mu U/ml)"),
-    m11: float = Query(..., description="Body mass index (weight in kg/(height in m)^2"),
-    bd2: float = Query(..., description="Blood Work Result-4 (mu U/ml)"),
-    age: int = Query(..., description="Patient's age (years)")
-    return templates.TemplateResponse("input_form.html", {"request": None})
 
 @app.post("/predict/")
 async def predict_diabetes(
     request: Request,
     input_data: InputFeatures  # Use the Pydantic model for input validation
-    request: Request,
-    prg: float = Query(..., description="Plasma glucose"),
-    pl: float = Query(..., description="Blood Work Result-1 (mu U/ml)"),
-    pr: float = Query(..., description="Blood Pressure (mm Hg)"),
-    sk: float = Query(..., description="Blood Work Result-2 (mm)"),
-    ts: float = Query(..., description="Blood Work Result-3 (mu U/ml)"),
-    m11: float = Query(..., description="Body mass index (weight in kg/(height in m)^2"),
-    bd2: float = Query(..., description="Blood Work Result-4 (mu U/ml)"),
-    age: int = Query(..., description="Patient's age (years)")
 ):
     try:
         # Convert Pydantic model to a DataFrame for prediction
@@ -79,4 +60,5 @@ async def predict_diabetes(
             }
         )
     except Exception as e:
-        raise HTTPException(status_code=500, detail="An error occurred while processing the request.")
+        #raise HTTPException(status_code=500, detail="An error occurred while processing the request.")
+        raise HTTPException(status_code=500, detail=str(e))