Create app.py

app.py

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+import gradio as gr
+import requests
+
+# Define the Gradio app URL for API access
+API_URL = "https://huggingface.co/spaces/rmaitest/demoforml22oct/run/predict"
+
+def predict_price(size, bedrooms, age):
+    # Prepare the data in the required format for the API request
+    payload = {
+        "data": [size, bedrooms, age]
+    }
+    
+    # Send request to the Gradio app API
+    response = requests.post(API_URL, json=payload)
+    
+    # Handle the response
+    if response.status_code == 200:
+        result = response.json()
+        # Extract the prediction from the response
+        prediction = result["data"][0]
+        return prediction
+    else:
+        return "Error: Unable to get prediction."
+
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=predict_price,
+    inputs=[
+        gr.Number(label="Size (sq ft)"),
+        gr.Number(label="Number of Bedrooms"),
+        gr.Number(label="Age of House (years)")
+    ],
+    outputs=gr.Number(label="Predicted Price ($)"),
+    title="House Price Prediction",
+    description="Enter the size, number of bedrooms, and age of the house to get the predicted price."
+)
+
+# Launch the interface
+if __name__ == "__main__":
+    iface.launch()