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import whisper | |
from pytube import YouTube | |
import gradio as gr | |
import os | |
import re | |
import logging | |
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=".") | |
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' | |
os.rename(out_file, new_file) | |
a = new_file | |
result = model.transcribe(a) | |
return result['text'].strip() | |
else: | |
logging.error('Videos for transcription on this demo are limited to about 1.5 hours.') | |
#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 = b[0]['summary_text'].replace(' .', '.').strip() | |
return b | |
with gr.Blocks() as demo: | |
gr.Markdown("<h1><center>Free Fast YouTube URL Video-to-Text") | |
#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>Transcription takes 5-10 seconds per minute of the video (bad audio/hard accents slow it down a bit).</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_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) | |
demo.queue(default_enabled = True).launch(debug = True) |