:chore: checking

app.py

@@ -49,11 +49,8 @@ def create_gradio_interface():
     Create and launch a Gradio interface for transcribing YouTube videos.
     """
     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.</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. #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>")
-        
+        gr.Markdown("<h1><center>Trascribe Videos using <a href=https://openai.com/blog/whisper/ target=_blank>Whisper</a></center></h1>")
+        gr.Markdown("<center>Enter the link of any YouTube video.</center>")
         input_text_url = gr.Textbox(placeholder='Youtube video URL', label='YouTube URL')
         result_button_transcribe = gr.Button('Transcribe')
         output_text_transcribe = gr.Textbox(placeholder='Transcript of the YouTube video.', label='Transcript')