Eisenh / InferGPT

Your local personalised AI agent

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

InferGPT: your local personalised AI agent

InferGPT's mission is to be an AI that knows you better than your best friend. A system that personalises to who you are and what you care about. We want to build something that can:

๐Ÿ”— Ingest data about you from various sources (with your permission of course)
๐Ÿ’ก Have deep and personal conversations without having to answer lots of questions - it will already infer your needs, make personalised recommendations and remember all your conversations.
๐ŸŽฏ Help you set and keep track of goals.
๐Ÿ—๏ธ Carry out tasks: this is an agent after all - it will go away and action stuff for you!
๐Ÿ”ฎ Predict what you need before you need it!

We aim to be able to answer complex questions that require a deep understanding of someone to effectively answer, such as:

  1. How can i be better with my finances?
  2. I'm trying to lose weight but its not working, why?
  3. I'm learning to code, can you create a tailored learning plan?

Roadmap & Docs

Want more context about how it works, our roadmap and documentation? Check out the wiki

Contribute

Guide in progress! Check out the project Kanban here (Skeleton and also in progress of setting up)

Getting Started

In the top-right corner of the page, click Fork. Create Fork UI

On the next page, select your GitHub account to create the fork under. Wait for the forking process to complete. You now have a copy of the repository in your GitHub account. Clone the Repository To clone the repository, you need to have Git installed on your system.

Once you have Git installed, follow these steps:

Open your terminal. Navigate to the directory where you want to clone the repository. Run the git clone command for the fork you just created

Clone the Repository

Then open your project in your ide To run the application, you must install the libraries listed in requirements.txt.

pip install -r requirements.txt

Install Neo4j Desktop or Aura DB

Instructions can be found here.
Install the pre-made recommendations database. Version 4.4 is the latest stable.

Run it

Run your virtual environment and then run the streamlit run command to start the app on link: http://localhost:8501/[http://localhost:8501/].

streamlit run bot.py

Usage

Coming

LICENCE

See LICENCE.md

About

Your local personalised AI agent

License:MIT License


Languages

Language:Python 100.0%