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falcon-langchain

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Falcon LLM with Chat UI using LangChain and Chainlit

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# Falcon LLM with LangChain Chat UI

This repository contains the necessary files and instructions to run Falcon LLM 7b with LangChain and interact with a chat user interface using Chainlit. Follow the steps below to set up and run the chat UI.

## Prerequisites

- Python 3.10 or higher
- Operating System: macOS or Linux

## Steps to Run the Chat UI

1. Fork this repository or create a code space in GitHub.

2. Install the required Python packages by running the following command in your terminal:
   ```
   pip install -r requirements.txt
   ```

3. Create a `.env` file in the project directory. You can use the `example.env` file as a reference. Add your Hugging Face API token to the `.env` file in the following format:
   ```
   HUGGINGFACEHUB_API_TOKEN=your_huggingface_token
   ```

4. Run the following command in your terminal to start the chat UI:
   ```
   chainlit run app.py -w
   ```

This will launch the chat UI, allowing you to interact with the Falcon LLM model using LangChain.

**Note:** Ensure that you have provided a valid Hugging Face API token in the `.env` file, as mentioned in step 3. Without a valid token, the chat UI will not function properly.

If you encounter any issues or have questions, please reach out to me on [Twitter](https://twitter.com/MisbahSy)

Enjoy using Falcon LLM with LangChain!

falcon-langchain

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