Akshanshsensei/PDF-Constrained-Conversational-Agent

1import os2from huggingface_hub import HfApi3 4def upload_app():5    print("=== Hugging Face Full Sync Uploader ===")6    token = input("Please paste your Hugging Face Access Token (with Write permission): ").strip()7    8    if not token:9        print("Error: Token cannot be empty.")10        return11 12    api = HfApi(token=token)13    repo_id = "Akshanshsensei/PDF-Constrained-Conversational-Agent"14    repo_type = "space"15 16    # All files that need to be kept in sync with the Space17    files_to_upload = [18        "app.py",19        "requirements.txt",20        "README.md",21        "config.py",22    ]23 24    print(f"\nUploading {len(files_to_upload)} files to Hugging Face Space...")25    success_count = 026    for file_path in files_to_upload:27        if not os.path.exists(file_path):28            print(f"  ⚠️  Skipping {file_path} (not found locally)")29            continue30        try:31            api.upload_file(32                path_or_fileobj=file_path,33                path_in_repo=file_path,34                repo_id=repo_id,35                repo_type=repo_type,36                commit_message=f"Sync {file_path}"37            )38            print(f"  ✅ {file_path} uploaded.")39            success_count += 140        except Exception as e:41            print(f"  ❌ Error uploading {file_path}: {e}")42 43    if success_count > 0:44        print(f"\n✅ Done! {success_count}/{len(files_to_upload)} files uploaded.")45        print("Your Space is now rebuilding with the latest changes!")46    else:47        print("\n❌ No files were uploaded. Check your token and try again.")48 49if __name__ == "__main__":50    upload_app()51