File size: 2,477 Bytes
a9be1fa
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
import streamlit as st
from dotenv import load_dotenv

load_dotenv() ##load all the evironment 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 an expert AI assistant specializing in transcribing and taking detailed notes

 from transcript related to Machine Learning, Deep Learning, and Artificial Intelligence.

 Your task is to provide a comprehensive summary of the following transcript,

   including all key points, discussions, and Q&A sessions. 

   Please follow these guidelines:



1. Main Content:

   - Identify and summarize the main topic(s) discussed in the transcript.

   - List all key concepts, theories, and techniques mentioned.

   - Provide detailed explanations for each concept, including definitions, applications, and significance in the field.

   - Note any examples or case studies presented to illustrate concepts.

   - Capture any formulas, algorithms, or code snippets discussed, ensuring they are accurately transcribed.

   - Highlight any cutting-edge research or recent advancements mentioned.

Please provide the summary of the text given here:  """


## getting the transcript data from yt 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
    
## getting the summary 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

st.title("🎥DDS YouTube Note Generator")
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 Detailed Notes"):
    transcript_text=extract_transcript_details(youtube_link)

    if transcript_text:
        summary=generate_gemini_content(transcript_text,prompt)
        st.markdown("## Detailed Notes are below:")
        st.write(summary)