Update app.py

app.py

@@ -11,12 +11,13 @@ def get_audio(url):
         ydl_opts = {
             'format': 'bestaudio/best',
             'noplaylist': True,
-            'quiet': True
+            'quiet': True,
+            'outtmpl': '%(title)s.%(ext)s'  # Specify output template to get the file path
         }
         with yt_dlp.YoutubeDL(ydl_opts) as ydl:
             info = ydl.extract_info(url, download=True)
-            # Use 'filepath' from the info dictionary to get the downloaded file path
-            audio_file = info['filepath']
+            # Use 'requested_downloads' to get the downloaded file path
+            audio_file = ydl.prepare_filename(info)
             return audio_file
     except Exception as e:
         raise gr.Error(f"Exception: {e}")
@@ -35,18 +36,12 @@ def get_text(url):
 def get_summary(article):
     try:
         first_sentences = ' '.join(re.split(r'(?<=[.:;])\s', article)[:5])
-        # Assuming you have a summarizer pipeline set up
-        # b = summarizer(first_sentences, min_length = 20, max_length = 120, do_sample = False)
-        # b = b[0]['summary_text'].replace(' .', '.').strip()
-        # return b
-        # Since no summarizer is defined, return the first sentences for now
         return first_sentences
     except Exception as e:
         raise gr.Error(f"Exception: {e}")
 
 with gr.Blocks() as demo:
     gr.Markdown("<h1><center>Free Fast YouTube URL Video-to-Text using <a href=https://openai.com/blog/whisper/ target=_blank>OpenAI's Whisper</a> Model</center></h1>")
-    #gr.Markdown("<center>Enter the link of any YouTube video to generate a text transcript of the video and then create a summary of the video transcript.</center>")
     gr.Markdown("<center>Enter the link of any YouTube video to generate a text transcript of the video.</center>")
     gr.Markdown("<center><b>'Whisper is a neural net that approaches human level robustness and accuracy on English speech recognition.'</b></center>")
     gr.Markdown("<center>Transcription takes 5-10 seconds per minute of the video (bad audio/hard accents slow it down a bit). #patience<br />If you have time while waiting, check out my <a href=https://www.artificial-intelligence.blog target=_blank>AI blog</a> (opens in new tab).</center>")
@@ -54,10 +49,7 @@ with gr.Blocks() as demo:
     input_text_url = gr.Textbox(placeholder='Youtube video URL', label='URL')
     result_button_transcribe = gr.Button('1. Transcribe')
     output_text_transcribe = gr.Textbox(placeholder='Transcript of the YouTube video.', label='Transcript')
-    #result_button_summary = gr.Button('2. Create Summary')
-    #output_text_summary = gr.Textbox(placeholder='Summary of the YouTube video transcript.', label='Summary')
 
-    result_button_transcribe.click(get_text, inputs = input_text_url, outputs = output_text_transcribe)
-    #result_button_summary.click(get_summary, inputs = output_text_transcribe, outputs = output_text_summary)
+    result_button_transcribe.click(get_text, inputs=input_text_url, outputs=output_text_transcribe)
 
-    demo.queue(default_enabled = True).launch(debug = True)
+    demo.queue(default_enabled=True).launch(debug=True)