🔗🔗 🤖 Langchain 🔗🔗🤖

Introduction

This project showcases two different Python scripts for developing chatbots using Langchain and Streamlit. The first script implements a simple CSV chatbot using Langchain and Streamlit, while the second script utilizes the Llama pretrained model for chatting, without integrating with Streamlit.

Download pretrained llama model

https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/tree/main/llama-2-7b-chat.ggmlv3.q4_0.bin

You can download it locally first add as path.

Prerequisites

Before running the scripts, ensure you have the following installed:

• Python 3.9
• Pip

Installation

1. Clone the repository to your local machine:

   git clone https://github.com/GVanave/langchain-chatbot.git

2. Navigate to the project directory:

   cd langchain-chatbot

3. Install the required Python packages:

   pip install -r requirements.txt

Usage

Streamlit Web Application

This project includes a Streamlit web application with two pages: one for the chatbot and another for data statistics.

To run the Streamlit web application, execute the following command:

streamlit run csv_chatbot.py 

File Descriptions

• csv_chatbot.py: Python script implementing a simple CSV chatbot using Langchain and Streamlit.
• llama_chatbot.ipynb: Python script demonstrating the usage of the Llama pretrained model for chatting.
• requirements.txt: List of Python packages required for the project.

Future Work

In future iterations of this project, the following enhancements are planned:

• PDF Chatbot: Implementing a chatbot capable of processing PDF documents for more versatile interactions.
• Fine-tuning LLMs: Fine-tuning Large Language Models (LLMs) like GPT-3 or BERT for specific tasks to improve conversational abilities and accuracy.

💡 Stay tuned for updates as we continue to improve and expand the capabilities of LLMs! 🚀

Contributing

Contributions are welcome! If you'd like to contribute to this project, please fork the repository, make your changes, and submit a pull request.