Update app.py

app.py

@@ -6,6 +6,7 @@ import numpy as np
 # Initialize FastAPI app
 app = FastAPI()
 
+
 # Load the trained Gradient Boosting model
 model = joblib.load('gradient_boosting_model.pkl')
 print('model',model)
@@ -63,7 +64,29 @@ def preprocess_input(data: PredictionInput):
         categorical_mapping['poutcome'].index(data.poutcome),
     ]
     return np.array([features])
-
+# Define the GET endpoint to show the structure
+@app.get("/structure")
+async def get_structure():
+    # Example data to return
+    example_data = {
+        "age": 0,
+        "job": "admin",
+        "marital": "married",
+        "education": "secondary",
+        "default": "no",
+        "balance": 0,
+        "housing": "no",
+        "loan": "no",
+        "contact": "telephone",
+        "day": 0,
+        "month": "jan",
+        "duration": 0,
+        "campaign": 0,
+        "pdays": 0,
+        "previous": 0,
+        "poutcome": "success"
+    }
+    return example_data
 # Define a POST endpoint for predictions
 @app.post("/predict")
 async def predict(data: PredictionInput):