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import re |
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from youtube_transcript_api import YouTubeTranscriptApi |
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from youtube_transcript_api.formatters import TextFormatter |
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import torch |
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import gradio as gr |
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from transformers import pipeline |
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text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16) |
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def summary (input): |
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output = text_summary(input) |
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return output[0]['summary_text'] |
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def extract_video_id(url): |
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regex = r"(?:youtube\.com\/(?:[^\/\n\s]+\/\S+\/|(?:v|e(?:mbed)?)\/|\S*?[?&]v=)|youtu\.be\/)([a-zA-Z0-9_-]{11})" |
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match = re.search(regex, url) |
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if match: |
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return match.group(1) |
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return None |
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def get_youtube_transcript(video_url): |
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video_id = extract_video_id(video_url) |
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if not video_id: |
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return "Video ID could not be extracted." |
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try: |
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transcript = YouTubeTranscriptApi.get_transcript(video_id) |
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formatter = TextFormatter() |
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text_transcript = formatter.format_transcript(transcript) |
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summary_text = summary(text_transcript) |
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return summary_text |
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except Exception as e: |
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return f"An error occurred: {e}" |
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gr.close_all() |
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demo = gr.Interface(fn=get_youtube_transcript, |
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inputs=[gr.Textbox(label="Input YouTube Url to summarize",lines=1)], |
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outputs=[gr.Textbox(label="Summarized text",lines=4)], |
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title="@GenAILearniverse Project 2: YouTube Script Summarizer", |
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description="THIS APPLICATION WILL BE USED TO SUMMARIZE THE YOUTUBE VIDEO SCRIPT.") |
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demo.launch() |