adding auth

app.py

@@ -11,35 +11,35 @@ import time
 import torch
 import spaces
 import os
-from huggingface_hub import HfApi, login
-
-def setup_hf_auth():
-    """
-    Set up Hugging Face authentication using a token stored as a secret.
-    Returns authenticated HfApi instance if successful.
-    """
-    try:
-        # First try to get token from environment variable
-        hf_token = os.getenv('HF_TOKEN')
+# from huggingface_hub import HfApi, login
+
+# def setup_hf_auth():
+#     """
+#     Set up Hugging Face authentication using a token stored as a secret.
+#     Returns authenticated HfApi instance if successful.
+#     """
+#     try:
+#         # First try to get token from environment variable
+#         hf_token = os.getenv('HF_TOKEN')
         
-        if not hf_token:
-            raise ValueError("HF_TOKEN not found in environment variables or .env file")
+#         if not hf_token:
+#             raise ValueError("HF_TOKEN not found in environment variables or .env file")
             
-        # Login to Hugging Face
-        login(token=hf_token)
+#         # Login to Hugging Face
+#         login(token=hf_token)
         
-        # Initialize API client
-        api = HfApi()
+#         # Initialize API client
+#         api = HfApi()
         
-        # Verify authentication by trying to get user info
-        user_info = api.whoami()
-        print(f"Successfully authenticated as: {user_info.name}")
+#         # Verify authentication by trying to get user info
+#         user_info = api.whoami()
+#         print(f"Successfully authenticated as: {user_info.name}")
         
-        return api
+#         return api
         
-    except Exception as e:
-        print(f"Authentication failed: {str(e)}")
-        return None
+    # except Exception as e:
+    #     print(f"Authentication failed: {str(e)}")
+    #     return None
 
 from video_highlight_detector import (
     load_model,
@@ -208,9 +208,9 @@ if __name__ == "__main__":
     device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
     zero = torch.Tensor([0]).to(device)
 
-    hf_api = setup_hf_auth()
-    if not hf_api:
-        raise RuntimeError("Failed to authenticate with Hugging Face")
+    # hf_api = setup_hf_auth()
+    # if not hf_api:
+    #     raise RuntimeError("Failed to authenticate with Hugging Face")
     
     app = create_ui("video_spec.json")
     app.launch()