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requirements.txt

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+streamlit
+PyPDF2
+google.generativeai
+python-dotenv
+youtube_transcript_api

yt_summarizer.py

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+from youtube_transcript_api import YouTubeTranscriptApi
+import google.generativeai as genai
+import os
+import streamlit as st
+from dotenv import load_dotenv
+
+load_dotenv()
+
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+model = genai.GenerativeModel("gemini-pro")
+prompt="""You are Yotube video summarizer. You will be taking the transcript text
+and summarizing the entire video and providing the important summary in points
+within 250 words. Please provide the summary of the text given here:  """
+
+def predict_result(transcript_text):
+    result = model.generate_content(prompt + transcript_text)
+    return result.text
+
+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
+    
+st.title("Youtube Video Transcript Summarizer")
+video_url = st.text_input("Enter Youtube Video Link: ")
+
+if video_url:
+    video_id = video_url.split("=")[1]
+    st.image(f"http://img.youtube.com/vi/{video_id}/0.jpg", use_column_width=True)
+    
+if st.button("Get Video Notes"):
+    transcript_text = extract_transcript_details(video_url)
+    
+    if transcript_text:
+        summary = predict_result(transcript_text=transcript_text)
+        st.markdown("## Video Notes:")
+        st.write(summary)