Update main.py

main.py

@@ -29,12 +29,30 @@ 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