| from huggingface_hub import HfApi | |
| # Initialize the API (will use the token from CLI authentication) | |
| api = HfApi() | |
| # Define your repository ID | |
| repo_id = "AshutoshAI/mental-health-predictor" | |
| # Upload the entire folder, excluding unnecessary files | |
| api.upload_folder( | |
| folder_path="D:/DSMINIPRO", | |
| repo_id=repo_id, | |
| repo_type="model", | |
| ignore_patterns=["*.csv", "*le_gender.pkl", "*le_target.pkl", "*mental_health_model.pkl", "*scaler.pkl", "*scaler_updated.pkl", "*.log"], | |
| ) | |
| print(f"Successfully uploaded to {repo_id}") |