Upload folder using huggingface_hub (#2)

- Upload folder using huggingface_hub (31104f7fa4d50d2cf32fb991d4ac4c7f0dd9244f)


Co-authored-by: Rajdeep Jain <raj2261992@users.noreply.huggingface.co>

best_sales_forecasting_model_updated.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c742e097399440e4c5b1023aae9a11f0d76c06d5111210ddcc8ad4c2325247c5
+size 36107955

main.py

@@ -6,7 +6,7 @@ from flask import Flask, request, jsonify
 app = Flask("SuperKart Sales Predictor")
 
 # Load the trained sales prediction model
-model = joblib.load("best_sales_forecasting_model.joblib")
+model = joblib.load("best_sales_forecasting_model_updated.joblib")
 
 
 # Define a route for the home page