Upload folder using huggingface_hub

app.py

@@ -9,7 +9,9 @@ from flask import Flask, request, jsonify  # For creating the Flask API
 superkart_api = Flask("superkart_api") #Complete the code to define the name of the app
 
 # Load the trained churn prediction model
-model = joblib.load("backend_files/random_forest.joblib") #Complete the code to define the location of the serialized model
+model = joblib.load("/app/random_forest.joblib") #Corrected path for loading the model
+# Adding a comment to force a file change detection - this is a test
+# You can remove this comment later if the upload works
 
 # Define a route for the home page
 @superkart_api.get('/')
@@ -45,8 +47,6 @@ def predict_sales():
     # Return the prediction as a JSON response
     return jsonify({'Sales': prediction})
 
-# Adding a comment to force a file change detection - this is a test
-# You can remove this comment later if the upload works
 
 # Run the Flask app in debug mode
 if __name__ == '__main__':