AI Cookbook

This repo contains a collection of AI recipes/patterns built using phidata

• Full documentation

Live Demos

The AI cookbook apps are live and can be accessed at:

• HackerNews AI that interacts with the HN API to summarize stories, users, find out what's trending, summarize topics.
• Streamlit App serving a PDF, Image and Website Assistant (password: admin)
• FastApi serving a PDF Assistant.

Setup

1. Clone the git repo

from the ai-cookbook dir:

2. Create + activate a virtual env:

python3 -m venv aienv
source aienv/bin/activate

3. Install phidata:

pip install phidata

4. Setup workspace:

phi ws setup

5. Copy workspace/example_secrets to workspace/secrets:

cp -r workspace/example_secrets workspace/secrets

6. Copy .env file:

cp example.env .env

7. Update .env file:

• Set the AI apps like HACKERNEWS_AI you'd like to enable as True
• Set your OPENAI_API_KEY

HACKERNEWS_AI=True
# OPENAI_API_KEY=sk-***

• You can also export these as environment variable like:

export OPENAI_API_KEY=sk-***

Run AI Cookbook locally

1. Install docker desktop

2. Start the workspace using:

phi ws up

• Open localhost:8501 to view the Streamlit App.
• Open localhost:8000/docs to view the FastApi docs.
• If HackerNews AI is enabled, open localhost:8502 to view HackerNews AI.
• If Jupyter is enabled, open localhost:8888 to view JupyterLab UI.

3. Stop the workspace using:

phi ws down