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from youtube_transcript_api import YouTubeTranscriptApi
from urllib.parse import urlparse, parse_qs
import torch
import gradio as gr
# Use a pipeline as a high-level helper
from transformers import pipeline
# model_path = r"../Models/models--sshleifer--distilbart-cnn-12-6/snapshots/a4f8f3ea906ed274767e9906dbaede7531d660ff"
# text_summary = pipeline ( task= "summarization", model= model_path, torch_dtype=torch.bfloat16)
text_summary = pipeline ( task= "summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16)
def summary(input):
output = text_summary(input)
return output[0]['summary_text']
def get_video_id(youtube_url):
# Extract the video ID from the YouTube URL
query = urlparse(youtube_url)
if query.hostname == 'youtu.be':
return query.path[1:]
if query.hostname in ('www.youtube.com', 'youtube.com'):
if query.path == '/watch':
return parse_qs(query.query)['v'][0]
if query.path[:7] == '/embed/':
return query.path.split('/')[2]
if query.path[:3] == '/v/':
return query.path.split('/')[2]
return None
def get_transcript(youtube_url):
video_id = get_video_id(youtube_url)
if not video_id:
return "Invalid YouTube URL."
try:
transcript = YouTubeTranscriptApi.get_transcript(video_id)
transcript_text = "\n".join([entry['text'] for entry in transcript])
summary_text = summary(transcript_text)
return summary_text
except Exception as e:
return f"Error fetching transcript: {e}"
# Example usage
# url = input("Enter YouTube URL: ")
# transcript = get_transcript(url)
# print("\n--- Transcript ---\n")
# print(transcript)
gr.close_all()
demo = gr.Interface(fn=get_transcript,
inputs=[gr.Textbox(label="Input Youtube URL to summarize",lines=1)],
outputs=[gr.Textbox(label="summarized text",lines=4)],
title="@GenAILearniverse Project 2: Youtube Script Summarizer",
description="THIS APPLICATION WILL BE USED TO SUMMARIZE Youtube Video Script")
print("🚀 App is launching...")
demo.launch(share=True)
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