add: first app

app.py

@@ -0,0 +1,67 @@
+# Import required libraries
+import os
+import re
+import logging
+import whisper
+from pytube import YouTube
+import gradio as gr
+
+# Setup logging
+logging.basicConfig(level=logging.INFO)
+
+# Load the Whisper model
+model = whisper.load_model("base")
+
+def download_audio_from_youtube(url):
+    """
+    Download the audio from a YouTube video and return the path to the audio file.
+    """
+    yt = YouTube(url)
+    video = yt.streams.filter(only_audio=True).first()
+    out_file = video.download(output_path=".")
+    return out_file
+
+def get_text(url):
+    """
+    Transcribe the audio from a YouTube video and return the transcript.
+    """
+    if not url:
+        return ''
+    
+    out_file = download_audio_from_youtube(url)
+    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:
+        logging.error('Videos for transcription on this space are limited to about 1.5 hours...')
+        return ''
+    
+    base, ext = os.path.splitext(out_file)
+    new_file = base + '.mp3'
+    os.rename(out_file, new_file)
+    
+    result = model.transcribe(new_file)
+    return result['text'].strip()
+
+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>")
+        
+        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')
+        
+        result_button_transcribe.click(get_text, inputs=input_text_url, outputs=output_text_transcribe)
+    
+    demo.queue(default_enabled=True).launch(debug=True)
+
+# Launch the Gradio interface
+if __name__ == "__main__":
+    create_gradio_interface()