Upload folder using huggingface_hub

app.py

@@ -10,7 +10,7 @@ REPO_ID_MODEL = "RajendrakumarPachaiappan/engine-predictive-model"
 MODEL_FILENAME = "final_random_forest_model.joblib"
 SCALER_FILENAME = "standard_scaler.joblib"
 
-# Feature Columns for Input
+# Feature Column for Input
 FEATURE_COLS = [
     'Engine_RPM', 'Lub_Oil_Pressure', 'Fuel_Pressure',
     'Coolant_Pressure', 'Lub_Oil_Temperature', 'Coolant_Temperature'

hosting.py

@@ -4,7 +4,7 @@ import os
 
 api = HfApi(token=os.getenv("HF_TOKEN"))
 api.upload_folder(
-    folder_path="/content/Predictive_Maintenance_Project/deployment",
+    folder_path="Predictive_Maintenance_Project/deployment",
 
     repo_id="RajendrakumarPachaiappan/EnginePredictionModel",