Update app.py

app.py

@@ -14,6 +14,10 @@ WHISPER_MODEL_SIZE = "base"
 # of performance and size for summarization.
 SUMMARIZATION_MODEL = "sshleifer/distilbart-cnn-12-6"
 
+# Define the path to the cookies file. Make sure you have uploaded 'cookies.txt'
+# to the root directory of your Hugging Face Space.
+COOKIES_FILE_PATH = "cookies.txt" 
+
 # --- Load Models (once at startup) ---
 # Load the Whisper ASR model
 print(f"Loading Whisper model: {WHISPER_MODEL_SIZE}...")
@@ -49,6 +53,14 @@ def download_and_extract_audio(youtube_url):
         'no_warnings': True,
     }
 
+    # Add cookies if the file exists
+    if os.path.exists(COOKIES_FILE_PATH):
+        ydl_opts['cookiefile'] = COOKIES_FILE_PATH
+        print(f"Using cookies from {COOKIES_FILE_PATH}")
+    else:
+        print(f"Cookies file not found at {COOKIES_FILE_PATH}. Proceeding without cookies.")
+
+
     try:
         print(f"Downloading audio for {youtube_url} to {audio_path}...")
         with yt_dlp.YoutubeDL(ydl_opts) as ydl:
@@ -126,8 +138,11 @@ iface = gr.Interface(
     description=(
         "Enter a YouTube video URL, and this tool will download its audio, "
         "transcribe it using OpenAI Whisper, and then generate a summary/notes."
-        "Please note: Processing time depends on video length and Hugging Face Space resources."
-        "For very long videos or complex audio, results may vary or take a long time."
+        "<br><b>Note:</b> If you encounter download issues (e.g., 'Sign in to confirm you’re not a bot'), "
+        "ensure you have uploaded a `cookies.txt` file (exported from your browser) to the root of this Hugging Face Space."
+        "<br><b>Performance:</b> Analyzing long videos (e.g., 1 hour+) can take a significant amount of time "
+        "and consume considerable resources, especially on CPU-only Hugging Face Spaces. "
+        "For faster processing of long videos, consider upgrading your Hugging Face Space to a GPU instance."
     ),
     allow_flagging="auto", # Allows users to flag results for review
     examples=[