Project Overview

This project is a web application built using Streamlit that takes a YouTube video URL, fetches its transcription, provides an option to summarize it, and translates the transcription into a selected language (German, Spanish, or Hindi). The app is powered by OpenAI’s GPT models using the Langchain library.

Features

1. YouTube Transcription: Fetches the transcription of a YouTube video using langchain_community.document_loaders.YoutubeLoader.
2. Summarization: Provides a checkbox to summarize the transcription.
3. Translation: Allows translation of the transcription to German, Spanish, or Hindi using a Langchain-based translation chain.

Setup

To run this project, you need to have the following installed:

• Python 3.9 or above
• Docker (if you wish to run the application inside a container)
• An OpenAI API key (set it as an environment variable)

1. Clone the Repository

git clone https://github.com/sher-somas/langchain-youtube-project.git
cd langchain-youtube-project
pip install -r requirements.txt
export OPENAI_API_KEY="your-openai-api-key"
streamlit run app.py

2. Running the Application with Docker

docker build -t streamlit-langchain-app .
docker run -p 8501:8501 -e OPENAI_API_KEY="your-openai-api-key" streamlit-langchain-app

3. Application GUI