Falcon 40B Chatbot in Hugging Face and LangChain 🦅🤖

Welcome to the Falcon 40B Chatbot Demo repository! This project demonstrates how to utilize the Falcon-40B-Instruct model from Hugging Face in combination with the LangChain framework. The code showcases how to set up and interact with the model, while also integrating it into the LangChain library for advanced conversational capabilities.

📜 Overview

This repository provides a Jupyter Notebook (falcon-40b-chatbot.ipynb) that illustrates how to:

• Install the required libraries for model setup and interaction
• Initialize the Hugging Face pipeline for text generation
• Integrate the pipeline with the LangChain framework
• Set up a conversational agent using Falcon 40B
• Implement output parsing to clean up generated text

📁 Repository Structure

📦 Falcon_40B_Chatbot_Demo
 ┣ 📂 notebooks
 ┃ ┗ 📝 falcon-40b-chatbot.ipynb
 ┣ 📜 .gitignore
 ┣ 📜 LICENSE
 ┗ 📜 README.md

🛠️ Libraries Used

Here's a table of the main libraries used in this project:

Library	Version	Description
transformers		Hugging Face Transformers library
accelerate		Accelerate library for efficient model loading
einops		Library for array reshaping
langchain		LangChain framework for language models
xformers		Transformative deep learning library
bitsandbytes		Library for quantization of models
torch		PyTorch library

🚀 Getting Started

1. Clone this repository to your local machine:

   git clone https://github.com/yourusername/Falcon_40B_Chatbot_Demo.git

2. Open the Jupyter Notebook falcon-40b-chatbot.ipynb using Jupyter Notebook or Google Colab.

3. Follow along with the notebook to explore the Falcon 40B Chatbot demo.

📝 License

This project is licensed under the MIT License. See the LICENSE file for details.

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Enjoy experimenting with the Falcon 40B Chatbot Demo! If you have any questions or suggestions, feel free to open an issue or contribute to the project. Happy coding! 😊🌟