LLM app

.gitignore

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+.env

README.md

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+---
+title: Youtube Video Transcribe Summarizer LLM App
+emoji: 💻
+colorFrom: yellow
+colorTo: yellow
+sdk: streamlit
+sdk_version: 1.39.0
+app_file: app.py
+pinned: 
+---

app.py

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+import streamlit as st
+from dotenv import load_dotenv
+import google.generativeai as genai # type: ignore
+from youtube_transcript_api import YouTubeTranscriptApi  # type: ignore
+import os
+
+load_dotenv()
+
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+
+prompt = """You are Youtube video summarizer. You will be tacking the transcript text and summarizing
+the entire video and providing the important summary inpoints within 250 words. 
+Please provide the summery of the text given here:
+"""
+def generate_gemini_response(transcript_text, prompt):
+    model = genai.GenerativeModel("gemini-1.5-flash")
+    response = model.generate_content([transcript_text+prompt])
+    return response.text
+
+
+## getting the transcript data from yb 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
+    
+    
+# streamlit app
+st.set_page_config(page_title="YB videos Transcrpter")
+st.title("Youtube Transcript to Detailed Notes Converter")
+
+youtube_video_link = st.text_input("Enter Your Youtube video Link:")
+
+if youtube_video_link:
+    # to show the video themnel
+    video_id = youtube_video_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_video_link)
+    if transcript_text:
+        summary = generate_gemini_response(transcript_text,prompt)
+        
+        st.subheader("Detailed Notes::")
+        st.write(summary)
+        
+    

pyproject.toml

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+[tool.poetry]
+name = "youtube video transcribe summarizer llm app"
+version = "0.1.0"
+description = ""
+authors = ["Nasir Abbas <akhtarabbas.islamicreaction@gmail.com>"]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.12"
+streamlit = "^1.39.0"
+youtube-transcript-api = "^0.6.2"
+google-generativeai = "^0.8.3"
+python-dotenv = "^1.0.1"
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

requirements.txt

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