import re from youtube_transcript_api import YouTubeTranscriptApi from youtube_transcript_api.formatters import TextFormatter import torch import gradio as gr from transformers import pipeline text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16) # model_path = ("../Models/models--sshleifer--distilbart-cnn-12-6/snapshots" # "/a4f8f3ea906ed274767e9906dbaede7531d660ff") # text_summary = pipeline("summarization", model=model_path, # torch_dtype=torch.bfloat16) def summary (input): output = text_summary(input) 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 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 summary_text except Exception as e: return f"An error occurred: {e}" # Example URL (Replace this with the actual URL when using the script) # video_url = "https://youtu.be/5PibknhIsTc" # print(get_youtube_transcript(video_url)) gr.close_all() # demo = gr.Interface(fn=summary, inputs="text",outputs="text") demo = gr.Interface(fn=get_youtube_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 THE YOUTUBE VIDEO SCRIPT.") demo.launch()