Update app.py

app.py

@@ -9,22 +9,19 @@ logging.basicConfig(level=logging.INFO)
 model = whisper.load_model("base")
 
 def get_text(url):
-    #try:
     if url != '':
         output_text_transcribe = ''
 
     yt = YouTube(url)
-    #video_length = yt.length --- doesn't work anymore - using byte file size of the audio file instead now
-    #if video_length < 5400:
     video = yt.streams.filter(only_audio=True).first()
-    out_file=video.download(output_path=".")
+    out_file = video.download(output_path=".")
 
     file_stats = os.stat(out_file)
     logging.info(f'Size of audio file in Bytes: {file_stats.st_size}')
     
     if file_stats.st_size <= 30000000:
         base, ext = os.path.splitext(out_file)
-        new_file = base+'.mp3'
+        new_file = base + '.mp3'
         os.rename(out_file, new_file)
         a = new_file
     
@@ -32,12 +29,10 @@ def get_text(url):
         return result['text'].strip()
     else:
         logging.error('Videos for transcription on this space are limited to about 1.5 hours. Sorry about this limit but some joker thought they could stop this tool from working by transcribing many extremely long videos. Please visit https://steve.digital to contact me about this space.')
-    #finally:
-    #    raise gr.Error("Exception: There was a problem transcribing the audio.")
 
 def get_summary(article):
     first_sentences = ' '.join(re.split(r'(?<=[.:;])\s', article)[:5])
-    b = summarizer(first_sentences, min_length = 20, max_length = 120, do_sample = False)
+    b = summarizer(first_sentences, min_length=20, max_length=120, do_sample=False)
     b = b[0]['summary_text'].replace(' .', '.').strip()
     return b
 
@@ -48,10 +43,6 @@ with gr.Blocks() as demo:
     result_button_transcribe = gr.Button('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(show_api=True)
+demo.queue(default_enabled=True).launch(show_api=True)