chatflow
Leveraging LLM to build Conversational UIs
Stars: 112
Chatflow is a tool that provides a chat interface for users to interact with systems using natural language. The engine understands user intent and executes commands for tasks, allowing easy navigation of complex websites/products. This approach enhances user experience, reduces training costs, and boosts productivity.
README:
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.
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
Before running the app, please install Docker first
cd chat-ui
npm install
npm run build
npm start
-
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
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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
# Load the initial data python load_data.py # Start the server 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
- 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
- Go to Github and create a new classic token https://github.com/settings/tokens
- Set the Github Token in the local storage of the browser
localStorage.setItem("external-token", "github-token")
localStorage.setItem("external-url", "github.com")
- Prompt the Github related actions. Ex List Github repositories and display as a chart with the fields: full_name and forks_count
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