YouTube2Tweets

Overview

YouTube2Tweets is an application designed to transform YouTube video content into engaging and informative tweets. This tool leverages advanced Natural Language Processing (NLP) and AI technologies to transcribe videos, summarize their content, and generate insightful and appealing tweets.

How It Works

Transcription: The application starts by fetching the transcript of a YouTube video using the video's ID.
Vectorization: Utilizing BERT, a sophisticated NLP model, the transcript is vectorized for nuanced linguistic processing.
Summarization: The vectorized data is then used to generate concise section-wise and overall summaries of the video.
Tweet Generation: Leveraging OpenAI's GPT-3.5 Turbo model, the application crafts tweets from these summaries.
Display: All summaries and tweets are displayed in a user-friendly interface, with options to interact and explore the content.

Application Architecture

To understand the architecture and flow of YouTube2Tweets, refer to the diagram below:

sequenceDiagram
    participant User
    participant Fetcher as Transcription Engine
    participant BERT
    participant Summarizer as Summarization Engine
    participant Tweeter as Tweet Engine
    participant Database as Vector Database
    participant GPT3 as OpenAI GPT-3.5 Turbo
    participant Plotly as User Interface

    User->>Fetcher: Input video ID
    Fetcher->>BERT: Fetch & Provide transcript
    BERT->>Database: Vectorize & Store transcript
    Database->>Summarizer: Retrieve vectorized transcript
    Summarizer->>GPT3: Request section summaries
    GPT3->>Summarizer: Return section summaries
    Summarizer->>Database: Store summaries
    Database->>Tweeter: Retrieve summaries
    Tweeter->>GPT3: Request tweets generation
    GPT3->>Tweeter: Return generated tweets
    Tweeter->>Database: Store tweets
    Database->>Plotly: Provide summaries and tweets
    Plotly->>User: Display summaries and tweets

Features

Video Transcription: Automated extraction of spoken content from YouTube videos.
Content Summarization: Intelligent section-wise and overall summaries.
Tweet Generation: Engaging tweets crafted using advanced AI models.
Interactive Interface: User-friendly display of summaries and tweets.

Work IN progress

Building a React UI
Vector DB support for session maintainence

Contributing

Contributions to the YouTube2Tweets project are welcome! If you have suggestions, improvements, or want to contribute code, please feel free to open an issue or submit a pull request.

License

(TBA - Specify the license under which the project is released, if applicable.)

Acknowledgements

BERT for transcript vectorization.
OpenAI's GPT-3.5 Turbo for content generation.
[Your Name/Organization] for project development.

For more information and updates, stay tuned to this repository.

bhaskatripathi/YouTube2Tweets