Update app.py

app.py

@@ -1,12 +1,12 @@
 import whisper
 from pytube import YouTube
-from transformers import pipeline
+#from transformers import pipeline
 import gradio as gr
 import os
 import re
 
 model = whisper.load_model("large")
-summarizer = pipeline("summarization")
+#summarizer = pipeline("summarization")
 
 def get_audio(url):
     try:
@@ -45,7 +45,8 @@ def get_summary(article):
   
 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 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>")
     
@@ -53,10 +54,10 @@ with gr.Blocks() as demo:
     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_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_summary.click(get_summary, inputs = output_text_transcribe, outputs = output_text_summary)
 
 demo.queue(default_enabled = True).launch(debug = True)