CoolFace
Apppublic

frknayk/YoutubeSummarizer

sourceHugging Facemitupdated 3y agoView on Hugging Face
0likes
App README

Podcast Summarizer

Podcast Summarizer is a Streamlit application that summarizes podcast episodes into concise text snippets, providing users with quick insights into the content of each episode.

Description

This project aims to provide a convenient way for users to get summaries of podcast episodes, helping them decide which episodes to listen to based on their interests.

The project consists of a summarization module containing the logic for summarizing podcast episodes, and a Streamlit application (app.py) that provides a user-friendly interface for interacting with the summarization functionality.

Dependencies

The project relies on the following Python libraries:

  • —streamlit
  • —transformers
  • —torch
  • —youtubetranscriptapi

You can install these dependencies using the provided requirements.txt file.

Usage

To run the Podcast Summarizer application, follow these steps:

  1. 1.Clone the repository:
bash
   git clone https://github.com/your_username/podcast-summarizer.git
   cd podcast-summarizer
  1. 1.Install the dependencies:
bash
    pip install -r requirements.txt
  1. 1.Run the Streamlit application:
bash
    python -m streamlit run app.py
  1. 1.Access the application in your web browser at http://localhost:8501.

Contributing

Contributions to the Podcast Summarizer project are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.