Update app.py

app.py

@@ -23,16 +23,25 @@ env_path = find_dotenv()
 if env_path:
     load_dotenv(env_path)
 
-# Initialize Hugging Face authentication with better error handling
-try:
-    HUGGINGFACE_TOKEN = os.environ.get('HUGGINGFACE_TOKEN') or os.environ.get('HF_TOKEN')
-    if HUGGINGFACE_TOKEN and HUGGINGFACE_TOKEN.startswith('hf_'):
-        login(token=HUGGINGFACE_TOKEN)
+# Hugging Face authentication
+HUGGINGFACE_TOKEN = os.environ.get('HUGGINGFACE_TOKEN') or os.environ.get('HF_TOKEN')
+
+# Check if we have a valid token
+if HUGGINGFACE_TOKEN and HUGGINGFACE_TOKEN.startswith('hf_'):
+    try:
+        login(token=HUGGINGFACE_TOKEN, add_to_git_credential=False)
         st.sidebar.success("✅ Authenticated with Hugging Face")
-    else:
-        st.sidebar.warning("⚠️ Using public models (rate limited)")
-except Exception as e:
-    st.sidebar.warning(f"⚠️ Using public access: {str(e)}")
+    except Exception as e:
+        st.sidebar.warning(f"⚠️ Using public models (rate limited): {str(e)}")
+        HUGGINGFACE_TOKEN = None  # Reset token if invalid
+else:
+    st.sidebar.warning("""
+    ⚠️ No Hugging Face token found. Using public models (rate limited).
+    
+    To use your own token:
+    1. Get your token from [Hugging Face Settings](https://huggingface.co/settings/tokens)
+    2. Add it to your Space's secrets as `HUGGINGFACE_TOKEN`
+    """)
 
 # Configuration dictionary to store app settings
 app_config = {
@@ -242,6 +251,7 @@ def main():
             except Exception as e:
                 st.error(f"An error occurred during transcription setup: {str(e)}")
                 st.exception(e)  # Show full traceback for debugging
+    
     # Clean up temporary files
     if os.path.exists("temp_uploads"):
         for file in os.listdir("temp_uploads"):