app.py

import streamlit as st
from dotenv import load_dotenv

load_dotenv() ##load all the nevironment variables
import os
import google.generativeai as genai

from youtube_transcript_api import YouTubeTranscriptApi

genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

prompt ="""
You are Youtube video transcripter to help write a newsletter from the video given.
You will be taking the transcript text and summarizing the entire video and providing the detailed  
summary in paragraph with each sub section highlighted with a title of news or update.
Mention all the news and updates in different sections .
keep the tone engaging and wtiring style formal 
 """




## getting the transcript data from yt videos
def extract_transcript_details(youtube_video_url):
    try:
        video_id=youtube_video_url.split("=")[1]
        
        transcript_text=YouTubeTranscriptApi.get_transcript(video_id)

        transcript = ""
        for i in transcript_text:
            transcript += " " + i["text"]

        return transcript

    except Exception as e:
        raise e
    
## getting the summary based on Prompt from Google Gemini Pro
def generate_gemini_content(transcript_text,prompt):

    model=genai.GenerativeModel("gemini-pro")
    response=model.generate_content(prompt+transcript_text)
    return response.text

st.title("AI Video Summarizer")
youtube_link = st.text_input("Enter YouTube Video Link:")

if youtube_link:
    video_id = youtube_link.split("=")[1]
    print(video_id)
    st.image(f"http://img.youtube.com/vi/{video_id}/0.jpg", use_column_width=True)

if st.button("Generate Notes"):
    transcript_text=extract_transcript_details(youtube_link)

    if transcript_text:
        summary=generate_gemini_content(transcript_text,prompt)
        st.markdown("## Detailed Notes:")
        st.write(summary)