Upload 3 files

.env

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+GOOGLE_API_KEY="AIzaSyBXaH75cGy75Ve6aIzJKNT1T51TuDcoWxY"

app.py

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+import streamlit as st
+from dotenv import load_dotenv
+load_dotenv() #load all the environment 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 a youtube video summarizer.You will be taking the transcript text and summarizing the entire video
+and providing the important summary in points.Please provide the summary of the text given here"""
+#getting the transcript data from the video
+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 from google gemini
+def generate_gemini_content(transcript_text,prompt):
+    model=genai.GenerativeModel("gemini-pro")
+    response=model.generate_content(prompt+transcript_text)
+    return response.text
+
+st.title("YouTube Transcript to Detailed Notes Converted")
+youtube_link=st.text_input("Enter you YouTube Video URL:")
+
+if youtube_link:
+    video_id=youtube_link.split("=")[1]
+    st.image(f"http://img.youtube.com/vi/{video_id}/0.jpg",use_column_width=True)
+
+if st.button("Get detailed 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