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app.py

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+import streamlit as st
+from dotenv import load_dotenv
+load_dotenv()
+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 a Amazing Youtube video summarizer, Your objective is to take the provided transcript text
+and summerize the entire video transcript into to consise and meaningful summary in points within 250 points, The summary should cover all the
+important points.
+The transcript text is :
+"""
+
+## Getting the transcript data from the videos
+def extract_transcript_details(youtube_video_url):
+    try:
+        video_id = youtube_video_url.split("=")[1]
+        transcript_text = YouTubeTranscriptApi.get_transcript(video_id=video_id)
+        
+        transcript = ""
+        for i in transcript_text:
+            transcript += " "+i["text"]
+        return transcript
+    
+    except Exception as e:
+        raise e
+
+## getting the esummary 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
+
+
+## Streamlit APP
+
+st.set_page_config(page_title="ATS Resume Expert")
+st.header("Youtube Video Transcriber")
+st.title("Youtube Transcript to detailed notes converter")
+
+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("Get Youtube Video Original Transcript"):
+    original_transcript = extract_transcript_details(youtube_link)
+    st.subheader('The Original Transcript is ')
+    st.write(original_transcript)
+    
+if st.button("Get Detailed Summary of the Video"):
+    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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+streamlit
+google-generativeai
+python-dotenv
+langchain
+chromadb
+langchain_google_genai
+youtube_transcript_api
+pathlib