Update app.py

app.py

@@ -1,10 +1,6 @@
 import gradio as gr
 import pickle
 
-# Function to calculate the area of a rectangle
-def calculate_area(length, width):
-    return length * width
-
 # Load the trained model
 with open('model.pkl', 'rb') as file:
     model = pickle.load(file)
@@ -15,26 +11,15 @@ def predict_price(area, bedrooms, bathrooms):
     prediction = model.predict(features)
     return float(prediction[0])
 
-# Define Gradio interface for both calculator and predictor
+
+# Create a Gradio interface
 interface = gr.Interface(
-    fn=[calculate_area, predict_price],
-    inputs=[
-        gr.inputs.Number(name="length", label="Length"),
-        gr.inputs.Number(name="width", label="Width")
-    ] + [
-        gr.inputs.Number(name=name, label=label) for name, label in [
-            ("area", "Area (sqft)"), 
-            ("bedrooms", "Number of Bedrooms"), 
-            ("bathrooms", "Number of Bathrooms")
-        ]
-    ],
-    outputs=["number", "number"],  # Outputs for both functions
-    title="Combined Interface",
-    description=[
-        "Enter the length and width of a rectangle to calculate its area.",
-        "Enter the area (in sqft), number of bedrooms, and number of bathrooms to predict the house price."
-    ]
+    fn=predict_price,
+    inputs=["number", "number", "number"],
+    outputs="number",
+    title="House Price Predictor",
+    description="Enter the area (in sqft), number of bedrooms, and number of bathrooms to predict the house price."
 )
 
-# Launch the combined interface
+# Launch the interface
 interface.launch()