Upload folder using huggingface_hub

app.py

@@ -14,9 +14,16 @@ HF_REPO_ID = "CodingBuddy/Predictive-maintenance"
 
 # Download and load the model
 try:
-    model_path = hf_hub_download(repo_id=HF_REPO_ID, filename="Predictive_maintenance_project_best_model.joblib", repo_type="model")
-    model = joblib.load(model_path)
+    #model_path = hf_hub_download(repo_id=HF_REPO_ID, filename="Predictive_maintenance_project_best_model.joblib", repo_type="model")
+    #hf_hub_download('https://huggingface.co/CodingBuddy/Predictive-maintenance/blob/main/Predictive_maintenance_best_model.joblib')
+    #model = joblib.load(model_path)
+    
+    #https://huggingface.co/CodingBuddy/Predictive-maintenance/blob/main/Predictive_maintenance_best_model.joblib
+    # using above path , download the hf model
+    model_path_downloaded  =  hf_hub_download(repo_id=HF_REPO_ID, subfolder='blob/main', filename="Predictive_maintenance_project_best_model.joblib", repo_type="model")
+    model = joblib.load(model_path_downloaded)
     st.success("Model loaded successfully!")
+
 except Exception as e:
     st.error(f"Error loading model: {e}")
     st.stop()