Update app.py

app.py

@@ -49,53 +49,6 @@ HF_TOKEN = os.environ["HF_Token"]
 login(HF_TOKEN)
 api = HfApi()
 
-def load_project_id(json_file):
-    with open(json_file, 'r') as f:
-        data = json.load(f)
-    return data['project_id']
-
-
-def download_gitlab_repo():
-    print("Start the upload_gitRepository function")
-    project_id = load_project_id('repository_ids.json')
-    encoded_project_id = urllib.parse.quote_plus(project_id)
-    
-    # Define the URL to download the repository archive
-    archive_url = f"{GITLAB_API_URL}/projects/{encoded_project_id}/repository/archive.zip"
-    
-    # Download the repository archive
-    response = requests.get(archive_url)
-    archive_bytes = io.BytesIO(response.content)
-    
-    # Retrieve the original file name from the response headers
-    content_disposition = response.headers.get('content-disposition')
-    if content_disposition:
-        filename = content_disposition.split('filename=')[-1].strip('\"')
-    else:
-        filename = 'archive.zip'  # Fallback to a default name if not found
-
-    # Check if the file already exists in the repository
-    existing_files = api.list_repo_files(repo_id=HF_SPACE_NAME, repo_type='space')
-    target_path = f"{DATA_DIR}/{filename}"
-
-    print(f"Target Path: '{target_path}'")
-    print(f"Existing Files: {[repr(file) for file in existing_files]}")
-    
-    if target_path in existing_files:
-        print(f"File '{target_path}' already exists in the repository. Skipping upload...")
-    else:
-        # Upload the ZIP file to the new folder in the Hugging Face space repository
-        print("Uploading File to directory:")
-        print(f"Archive Bytes: {repr(archive_bytes.getvalue())[:100]}")  # Show a preview of bytes
-        print(f"Target Path in Repo: '{target_path}'")
-
-        api.upload_file(
-            path_or_fileobj=archive_bytes,
-            path_in_repo=target_path,
-            repo_id=HF_SPACE_NAME,
-            repo_type='space'
-        )
-        print("Upload complete")
 
 
 def split_python_code_into_chunks(texts, file_paths):