# -*- coding: utf-8 -*-
"""app.ipynb

Automatically generated by Colab.

Original file is located at
    https://colab.research.google.com/drive/12dUkowcCMVR7rhN2GdQVka92l9SM_0tI
"""

import gradio as gr
import numpy as np
import pickle

# Load model
with open("model.pkl", "rb") as f:
    model = pickle.load(f)

# Prediction function
def predict_risk(bp, cholesterol):
    input_data = np.array([[bp, cholesterol]])
    prediction = model.predict(input_data)
    return "Risk" if prediction[0] == 1 else "No Risk"

# Gradio interface
iface = gr.Interface(
    fn=predict_risk,
    inputs=[
        gr.Number(label="Blood Pressure (BP)"),
        gr.Number(label="Cholesterol")
    ],
    outputs="text",
    title="Heart Risk Prediction",
    description="Enter BP and Cholesterol to check heart risk using KNN."
)

iface.launch()