chatflow
Leveraging LLM to build Conversational UIs
Stars: 124
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
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Start the databases
docker-compose up -d redis
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Install the dependencies
pip install -r requirements-dev.txt
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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
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Replace the OpenAI API key with your own key in the .env file
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Start the backend service locally
# Start the server python server.py -
Visit http://localhost:8880/api/docs to see the API docs
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Access the Redis Vector DB UI on http://localhost:8001/redis-stack/browser
cd chat-uinpm installnpm start- Visit http://localhost:3000 to see the UI
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