app.py

from flask import Flask, request, jsonify
import joblib
import pandas as pd
import os

app = Flask(__name__)

# Verify model file exists
model_path = 'best_model.pkl'
if not os.path.exists(model_path):
    raise FileNotFoundError(f"Model file {model_path} not found in {os.getcwd()}")

model = joblib.load(model_path)

@app.route('/predict', methods=['POST'])
def predict():
    data = request.get_json(force=True)
    df = pd.DataFrame([data])
    prediction = model.predict(df)
    return jsonify({'prediction': prediction[0]})

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=7860)