AI-chatbot 🤖

An AI chatbot featuring conversational memory, designed to enable users to discuss their CSV, PDF and TXT data in a more intuitive manner. 📄

By integrating the strengths of Langchain and OpenAI, AI_Assistant employs large language models to provide users with seamless, context-aware natural language interactions for a better understanding of their data.🧠

Quick Start 🚀

TO-DO :

• enable print tokens utilizations for the conversation
• Use CSV Agent for chat with the entire csv file
• Add lots of files accepted like GitHub repo, Excel etc...
• Run falcon-40b-instruct and falcon-40b on a custom dataset
• Add free models like vicuna and free embeddings
• Replace chain of the chatbot by a custom agent for handling more features | memory + vectorstore + custom prompt

Running Locally 💻

Follow these steps to set up and run the service locally :

Prerequisites

• Python 3.8 or higher
• Git

Installation

Clone the repository :

git clone https://github.com/AhmedEwis/AI_Assistant.git

Navigate to the project directory :

cd AI_Assistant

Create a virtual environment :

python -m venv .venv
.\.venv\Scripts\activate

Install the required dependencies in the virtual environment :

pip install -r requirements.txt

Launch the chat service locally :

streamlit run src/Home.py

That's it! The service is now up and running locally. 🤗

Contributing 🙌

Contributions are always welcome! If you want to contribute to this project, please open an issue, submit a pull request or contact me at [email protected] (: