Simple Chat UI using Large Language Model Groq, LangChain and Chainlit
- LLMs from Groq website.
- LangChain as a Framework for LLM
- LangSmith for developing, collaborating, testing, deploying, and monitoring LLM applications.
- Chainlit for deploying.
You must have Python 3.10 or later installed. Earlier versions of python may not compile.
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Fork this repository (optional) and clone it locally.
git clone https://github.com/sudarshan-koirala/langchain-groq-chainlit.git cd langchain-groq-chainlit
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Create a virtualenv and activate it.
python3 -m venv .venv && source .venv/bin/activate
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OPTIONAL - Rename example.env to .env with
cp example.env .env
and input the environment variables from LangSmith. You need to create an account in LangSmith website if you haven't already. Also, you need to get api key for groq from this link.LANGCHAIN_TRACING_V2=true LANGCHAIN_ENDPOINT="https://api.smith.langchain.com" LANGCHAIN_API_KEY="your-api-key" LANGCHAIN_PROJECT="your-project" GROQ_API_KEY="YOUR_GROQ_API_KEY"
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Run the following command in the terminal to install necessary python packages:
pip install -r requirements.txt
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Run the following command in your terminal to start the chat UI:
chainlit run langchain_groq_chainlit.py
This is test project and is presented in my youtube video to learn new stuffs. It is not meant to be used in production as it's not production ready. You can modify the code and use for your usecases ✌️