app.py

import joblib
import numpy as np
import gradio as gr

# Load your trained model
model = joblib.load("model.joblib")

# Define the prediction function
def predict(input1, input2, input3):
    inputs = np.array([[input1, input2, input3]])
    prediction = model.predict(inputs)
    return str(prediction[0])  # Convert to string for display

# Build the Gradio interface
interface = gr.Interface(
    fn=predict,
    inputs=[
        gr.Number(label="Feature 1"),
        gr.Number(label="Feature 2"),
        gr.Number(label="Feature 3")
    ],
    outputs="text",
    title="Datathon Model Predictor",
    description="Enter 3 features to get prediction from the deployed model."
)

# Run the app
if __name__ == "__main__":
    interface.launch()