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app.py

@@ -4,11 +4,11 @@ import joblib  # For loading the serialized model
 import pandas as pd  # For data manipulation
 from flask import Flask, request, jsonify  # For creating the Flask API
 
-# Initialize the Flask application
-store_sales_api = Flask("SuperKart Store Sales Predictor")
+# Initialize the Flask app
+app = Flask(__name__)
+
+model = joblib.load("backend_files/superkart_sales_prediction_model_v1_0.joblib")
 
-# Load the trained machine learning model
-model = joblib.load("store_sales_prediction_model_v1_0.joblib")
 
 # Define a route for the home page (GET request)
 @store_sales_api.post('/v1/sale')