Update app.py

app.py

@@ -20,8 +20,8 @@ class ForecastResponse(BaseModel):
 @app.post("/predict", response_model=ForecastResponse)
 async def predict_expense(request: ForecastRequest):
     # Convert input month to numerical format
-    date = pd.to_datetime(request.month)
-    months_since_start = (date - pd.to_datetime("2024-01-01")).days / 30
+    start_date = df["ds"].min()  # Get the first date in dataset
+    months_since_start = (date - start_date).days / 30
 
     # Predict using the model
     prediction = model.predict(np.array([[months_since_start]]))[0]