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import re
import gradio as gr
import torch
from transformers import pipeline
from youtube_transcript_api import YouTubeTranscriptApi
from youtube_transcript_api.formatters import TextFormatter
# Initialize the summarization pipeline
text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16)
def summary(text_youtube):
output = text_summary(text_youtube)
return output[0]['summary_text']
# def extract_video_id(url):
# # Regex to extract the video ID from various YouTube URL formats
# regex = r"(?:youtube\.com\/(?:[^\/\n\s]+\/\S+\/|(?:v|e(?:mbed)?)\/|\S*?[?&]v=)|youtu\.be\/)([a-zA-Z0-9_-]{11})"
# match = re.search(regex, url)
# if match:
# return match.group(1)
# return None
def extract_video_id(url):
# Updated regex to extract the video ID from various YouTube URL formats, including /shorts/ and others with parameters
regex = r"(?:youtube\.com\/(?:[^\/\n\s]+\/\S+\/|(?:v|e(?:mbed)?)\/|\S*?[?&]v=|shorts\/)|youtu\.be\/)([a-zA-Z0-9_-]{11})"
match = re.search(regex, url)
if match:
return match.group(1)
return None
def get_youtube_transcript(video_url):
video_id = extract_video_id(video_url)
if not video_id:
return "Video ID could not be extracted.", ""
try:
# Fetch the transcript
transcript = YouTubeTranscriptApi.get_transcript(video_id)
# Format the transcript into plain text
formatter = TextFormatter()
text_transcript = formatter.format_transcript(transcript)
summary_text = summary(text_transcript)
return text_transcript, summary_text
except Exception as e:
return f"An error occurred: {e}", ""
# Remove any existing Gradio interfaces
gr.close_all()
# Define the Gradio interface
demo = gr.Interface(
fn=get_youtube_transcript,
inputs=[gr.Textbox(label="Input YouTube URL to summarize", lines=1)],
outputs=[
gr.Textbox(label="Text extracted from video", lines=4),
gr.Textbox(label="Summarized text", lines=4)
],
title="YouTube Script for Text Extract & Summarizer"
)
# Launch the Gradio interface
demo.launch(auth=('youtube','test@123')) |