GithubHelp home page GithubHelp logo

multi_lang's Introduction

Repository Name

Table of Contents

Introduction

This repository houses a Python application for translating and summarizing YouTube video transcripts. The application utilizes the YouTube Transcript API for retrieving the transcripts and leverages the Streamlit framework for building a user interface.

Installation

To run this application, please follow these steps:

  1. Clone the repository to your local machine:

    git clone https://github.com/username/repository.git
    
  2. Setup the Docker development container. Open a terminal or command prompt and navigate to the root folder of the cloned repository. Run the following command:

    docker-compose up -d
    

    This will create a development container using the specified Docker image.

  3. Install the required Python packages by running the following command:

    docker-compose exec app pip install -r requirements.txt
    

Usage

To utilize the application, follow these steps:

  1. Run the Streamlit app within the Docker development container:

    docker-compose exec app streamlit run streamlit_app.py
    

    This command will start the Streamlit application and launch it in your web browser.

  2. Input the YouTube video URL and select the target language from the dropdown menu.

  3. Click the "Translate" button. The app will retrieve the transcript, translate it to the specified language, and display the translated transcript along with a download link.

Features

  • Translates YouTube video transcripts to multiple languages
  • Summarizes the translated transcript to a shorter version
  • Provides a download link for the translated transcript

Contributing

Contributions to this repository are welcome. If you would like to contribute, please follow these steps:

  1. Fork the repository
  2. Create a new branch
  3. Make your modifications
  4. Commit your changes
  5. Push the branch to your forked repository
  6. Open a pull request to the main repository

Please ensure that your contributions adhere to the repository's code style and conventions.

License

This project is licensed under the MIT License.

Contact

For any questions or inquiries, please contact [email protected]

multi_lang's People

Contributors

bernard-rr avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.