Update app.py

app.py

@@ -34,7 +34,7 @@ print("Summarization model loaded.")
 def download_and_extract_audio(youtube_url):
     """
     Downloads a YouTube video and extracts its audio.
-    Returns the path to the extracted audio file or None on failure.
+    Returns a tuple: (path to extracted audio file or None, error message or None).
     """
     video_id = youtube_url.split("v=")[-1].split("&")[0] # Extract video ID
     audio_path = f"/tmp/{video_id}.mp3"
@@ -66,10 +66,15 @@ def download_and_extract_audio(youtube_url):
         with yt_dlp.YoutubeDL(ydl_opts) as ydl:
             ydl.download([youtube_url])
         print("Audio download and extraction complete.")
-        return audio_path
+        return audio_path, None
+    except yt_dlp.utils.DownloadError as e:
+        error_message = f"Download Error: {e.exc_info[1].msg if e.exc_info else str(e)}"
+        print(error_message)
+        return None, error_message
     except Exception as e:
-        print(f"Error downloading or extracting audio: {e}")
-        return None
+        error_message = f"An unexpected error occurred during download: {str(e)}"
+        print(error_message)
+        return None, error_message
 
 def transcribe_audio(audio_file_path):
     """
@@ -109,9 +114,11 @@ def process_youtube_video(youtube_url):
     Main function to process the YouTube video: download, transcribe, and summarize.
     """
     # 1. Download and Extract Audio
-    audio_file_path = download_and_extract_audio(youtube_url)
+    audio_file_path, download_error = download_and_extract_audio(youtube_url)
+    if download_error:
+        return f"Failed to download or extract audio: {download_error}", "N/A"
     if not audio_file_path or not os.path.exists(audio_file_path):
-        return "Failed to download or extract audio.", "N/A"
+        return "Failed to download or extract audio due to an unknown reason.", "N/A"
 
     # 2. Transcribe Audio
     transcript = transcribe_audio(audio_file_path)
@@ -139,7 +146,8 @@ iface = gr.Interface(
         "Enter a YouTube video URL, and this tool will download its audio, "
         "transcribe it using OpenAI Whisper, and then generate a summary/notes."
         "<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."
+        "ensure you have uploaded a `cookies.txt` file (exported from your browser) to the root of this Hugging Face Space. "
+        "You can typically export cookies using browser extensions like 'Get cookies.txt' or similar."
         "<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."