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.env

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+GOOGLE_API_KEY = "AIzaSyBBrePLC0eqi2LTVio-a7fyFKDqnoB9HdM"

app.py

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+import streamlit as st
+import os
+from dotenv import load_dotenv
+load_dotenv() # load all the environment variables
+
+import google.generativeai as genai
+from youtube_transcript_api import YouTubeTranscriptApi
+
+# Configure api
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+prompt=""" You are Youtube video summarizer. You will be taking the transcript text
+and summarizing the entire video and providing the importance summary in points
+within 250 words. The transcript text will be appended here: """
+
+# Define function to get transcript from youtube video
+def extract_transcript(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
+
+# Define function to summarize the transcript
+def generate_gemini_content(transcript,prompt):
+    model=genai.GenerativeModel("gemini-pro")
+    response=model.generate_content(prompt+transcript)
+    return response.text
+
+
+# Initialize streamlit app
+st.set_page_config(page_title="YTsummarizer")
+
+# App name
+st.markdown("<h4 style='text-align: center;'>Youtube Video Summarizer</h4>", unsafe_allow_html=True)
+
+# Input
+youtube_link=st.text_input(" ", key="input", placeholder="Enter Youtube video link")
+
+if youtube_link:
+    video_id=youtube_link.split("=")[1].split("&")[0]
+    print(video_id)
+    st.image(f"http://img.youtube.com/vi/{video_id}/0.jpg", use_column_width=True)
+
+if st.button("Summarize"):
+    transcript=extract_transcript(youtube_link)
+
+    if transcript:
+        summary=generate_gemini_content(transcript,prompt)
+        st.write(summary)

requirements.txt

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