Llama-2-GGML-CSV-Chatbot

🦙 Llama-2-GGML-CSV-Chatbot

Overview

The Llama-2-GGML-CSV-Chatbot is a conversational tool powered by a fine-tuned large language model (LLM) known as Llama-2 7B. This chatbot utilizes CSV retrieval capabilities, enabling users to engage in multi-turn interactions based on uploaded CSV data.

<img width="2000" src="assets/workflow_1.jpg">

🚀 Features

• CSV Data Interaction: Allows users to engage in conversations based on uploaded CSV data.
• Multi-turn Interaction: Supports seamless multi-turn interactions for a better conversational experience.

Development Specs

• Utilizes Llama-2 7B and Sentence Transformers for robust functionality.
• Developed using Langchain and Streamlit technologies for enhanced performance.
• Cross-platform compatibility with Linux, macOS, or Windows OS.

🛠️ Installation

1. Clone the Repository:

   git clone https://github.com/ThisIs-Developer/Llama-2-GGML-CSV-Chatbot.git
   

2. Install Dependencies:

   pip install -r requirements.txt
   

Download the Llama 2 Model:

Download the Llama 2 model file named llama-2-7b-chat.ggmlv3.q4_0.bin from the following link:

Download Llama 2 Model

Llama 2 Model Information

Note: After downloading the model, add the model file to the models directory. The file should be located at models\llama-2-7b-chat.ggmlv3.q4_0.bin, in order to run the code.

📝 Usage

1. Run the Application:

   streamlit run app.py
   

2. Access the Application:
   • Once the application is running, access it through the provided URL.

System Requirements

• CPU: Intel® Core™ i5 or equivalent.
• RAM: 8 GB.
• Disk Space: 7 GB.
• Hardware: Operates on CPU; no GPU required.

🤖 How to Use

• Upon running the application, you'll be presented with a sidebar providing information about the chatbot and an option to upload a CSV file.
• Upload a CSV file containing the data you want the chatbot to interact with.
• Enter your query or prompt in the input field provided.
• The chatbot will process your query and generate a response based on the uploaded CSV data and the Llama-2-7B-Chat-GGML model.

📖 ChatBot Conversession

⚡Streamlit ver. on #v2.0.2.dev20240102

📌 Important Notes

• While robust, this chatbot is not a substitute for professional advice.
• Ensure the CSV file adheres to the expected format for optimal performance.

🤝 Contributing

Contributions and suggestions are welcome! Feel free to fork the repository, make changes, and submit pull requests for improvements or bug fixes.

📄 License

This project is licensed under the MIT License.