cmbtexas/project7benew

1 2import numpy as np3import joblib4import pandas as pd5from flask import Flask, request, jsonify6 7superkart_api = Flask("__main__")8model = joblib.load("rf_tuned_model_Superkart_sales_predication_model.joblib")9 10@superkart_api.get('/')11def home():12    return "Welcome to Chandra's Superkart Sales Prediction App"13 14@superkart_api.post('/predict')15def predict_sales():16    data = request.get_json()17    product_data= {18        'Product_Weight': data['Product_Weight'],19        'Product_Sugar_Content': data['Product_Sugar_Content'],20        'Product_Allocated_Area': data['Product_Allocated_Area'],21        'Product_MRP': data['Product_MRP'],22        'Store_Size': data['Store_Size'],23        'Store_Location_City_Type': data['Store_Location_City_Type'],24        'Store_Type': data['Store_Type'],25        'Product_Id_char': data['Product_Id_char'],26        'Store_Age_Years': data['Store_Age_Years'],27        'Product_Type_Category': data['Product_Type_Category']28    }29 30    input_data = pd.DataFrame([product_data])31    prediction = model.predict(input_data).tolist()[0]32    return jsonify({'Sales': prediction})33 34if __name__ == '__main__':35    superkart_api.run(debug=True)36