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This houses the source code for a chat application built using React, Python, and SQLite. The application allows users to communicate with each other in real-time and supports multiple languages through the integration of LangChain API. The front-end is React while the back-end is Python and SQLite is used as the database.

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Pro-WebTech/Langchain-Chat

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Langchain-Chat

This repository contains the front-end code for the Langchain web application built using React. Langchain-Sqlite is a language learning platform that allows users to learn new languages by practicing with native speakers. This front-end application is designed to be used in conjunction with the Langchain backend API, which is built using Python and SQLite.

Installation

To install and run this application locally, you will need to have Node.js and NPM installed on your system. Once you have these dependencies installed, you can follow these steps:

  1. Clone this repository to your local machine using git clone https://github.com/Pro-WebTech/Langchain-Chat.git
  2. Navigate to the project directory and run npm install to install the required dependencies.
  3. Run the command npm start to start the development server.
  4. Open your web browser and navigate to http://localhost:3000 to view the application.

Usage

The Langchain-Sqlite application is designed to be intuitive and easy to use. Users can create an account, log in, and start practicing their language skills with native speakers. The front-end application allows users to view their progress, track their learning goals, and connect with other users.

Contributing

Contributions to this project are welcome and encouraged! If you notice a bug or have an idea for a new feature, please open an issue or submit a pull request. Before making any changes, please review the CONTRIBUTING.md file for more information on our contribution guidelines.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

About

This houses the source code for a chat application built using React, Python, and SQLite. The application allows users to communicate with each other in real-time and supports multiple languages through the integration of LangChain API. The front-end is React while the back-end is Python and SQLite is used as the database.

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