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This application for quickly getting interpretation of your data using LLMs (Currently OpenAI API - functions). The goal of the project is to expand it to all LLM (Closed and OpenSource) so people really only PLUG-AND-PLAY their databases.

License: Apache License 2.0

Python 52.69% CSS 6.09% HTML 41.23%

datachat's Introduction

DataChat

This application for quickly getting interpretation of your data using LLMs (Currently OpenAI API - functions). The goal of the project is to expand it to all LLM (Closed and OpenSource) so people really only PLUG-AND-PLAY their databases.

The app currently have synthetic database inside the folder instance - those are NOT real values or data, but they were easy to create for me.

Features

๐Ÿ“Š D3JS Integration: Advanced data visualization.

๐ŸŒ Flask & Python: Robust back-end support.

๐Ÿผ Pandas: Efficient data manipulation.

๐Ÿ—„๏ธ SQLite3: Currently supports SQLite3 databases.

Installation

Clone this repository

git clone https://github.com/yourusername/DataChat.git')

Navigate to the project directory

cd DataChat

Install dependencies

pip install -r requirements.txt

Run the application

python3 app.py

The server will start at 192.168.1.3:5000

Usage & Examples

The app works very simply, you ask question and system will make requests to OpenAI API and return messages.

To get an idea of how DataChat works, take a look at the following screenshots: image

image

image

License

Apache 2.0

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