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app.py

@@ -8,7 +8,7 @@ from flask import Flask, request, jsonify  # For creating the Flask API
 sales_predictor_api = Flask("Superkart Sales Predictor")
 
 # Load the trained machine learning model
-model = joblib.load("deployment_files/sales forecast_model_v1_0.joblib")
+model = joblib.load("backend_files/sales forecast_model_v1_0.joblib")
 
 # Define a route for the home page (GET request)
 @sales_predictor_api.get('/')

sales_forecast_model_v1_0.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33ede704a0a5e8eb4da0b17805f67617908b86774f2a21df687d8ccfc3e3290e
+size 259899