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app.py

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+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)

requirements.txt

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+youtube_transcript_api
+streamlit
+google-generativeai
+python-dotenv
+pathlib