Chatflow

Chatflow offers a chat interface for users to interact with any system using natural language. Our engine understands the user's intent and executes the required commands for the given task.

Users can easily navigate and utilize complex websites/products with multiple pages and functionalities through a chat interface rather than using a point-and-click approach.

This leads to decreased training expenses, enhanced user experience, and improved productivity.

You can try it out here

Watch this video to learn more.

Join our Discord to know what's going on in development and to ask questions to the maintainers about the project and how to contribute: https://discord.gg/fJ5ecMmsSf

Running the App

Before running the app, please install Docker first

Set up the environment

Automatic Setup(Windows only):

• cd scripts
• PowerShell -ExecutionPolicy Bypass -File .\windows-utils.ps1 -action setup -apiKey [OpenAI API Key]

Starting the App

• PowerShell -ExecutionPolicy Bypass -File .\windows-utils.ps1 -action on

Stopping the App

• PowerShell -ExecutionPolicy Bypass -File .\windows-utils.ps1 -action off

Manual setup:

React UI

• cd chat-ui
• npm install
• npm run build
• npm start

Backend

• Start the databases

  $ docker-compose up -d redis postgres video-chat-server

• Install the dependencies

  $ pip install -r requirements-dev.txt

• Navigate to the backend src cod

  $ cd server/src

• Create a .env file and set all required variables

  cp server/src/.env.template server/src/.env

• Replace the OpenAI API key with your own key in the .env file

• Start the backend service locally

  $ python load_data.py
  $ python server.py

• Log into the app http://localhost:3000/assets#/login with the following credentials

  username: [email protected]
  password: 123

• Visit http://localhost:8880/api/docs to see the API docs

• Access the Redis Vector DB UI on http://localhost:8001/redis-stack/browser

Local Development with Docker

• Build the docker image docker build -t apssouza/chatux:latest .
• Set OPENAI_API_KEY_GPT4 and OPENAI_API_KEY_GPT3 environment variables
• Run docker-compose up to start the app
• Visit http://localhost:8880/api/docs to see the API docs

Backlog

Please look at the issues for the backlog

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