ProFile AI

An Interactive Professional Profile power by Agentic AI

This project uses the following technologies for whch you would need an account and in some cases to buy credits (or you can adapt the code to use free APIs):

• ChatGPT API - you can replace this with any other LLM API or even with Ollama
• Pushover a simple push notification service that has a limited free trial
• ChromaDB

The ProfileAi class expects at least three data sources:

• A PDF file containing your linkedin profile
• A PDF file containing your CV or Resume
• A txt file containing a paragraph-long summary of your professional profile. It is ok to add also some more personal details here.

Download the code

1. Clone the repo with git clone https://github.com/giuseppe-sirigu/profileai.git
2. Move to the project directory with cd profileai

If using Python virtualenv

1. Create a python virtualenv with python -m venv venv.
2. Activate your environment with either venv\Scripts\activate on Windows, or source venv/bin/activate on Mac/Linux.
3. Then run pip install -e . to install the packages and the project. The -e option installs an editable version of the project that is updated automatically when code changes are made.

If using uv

uv is an extremely fast Python package manager wirtten in Rust.

1. Install uv following the instructions at this link.
2. Then run uv sync in the project root directory folder. This will create a virtual environment called .venv and install all the dependencies.

Setting up your API keys

To load your API keys, first create a .env file in the project root directory.

Your .env file should contain the following; add whichever keys you would like to use.

OPENAI_API_KEY=sk-proj-...
PUSHOVER_USER=...
PUSHOVER_TOKEN=...
RAG_ENABLED=True (False)

Run the application

To run the application, from the project directory, run the following command:

• python app.py if using virtualenv
• uv run app.py if using uv

This will start a Gradio chat interface that can be reached at http://127.0.0.1:7860/