phidata 2.0.6

AI Toolkit for Engineers

phidata

AI Toolkit for Engineers

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Phidata is a toolkit for building LLM Apps, Web Apps and AI platforms.

• Phidata makes it easy to run tools like FastApi, Django, Jupyter, Streamlit, Airflow and Superset.
• Use these tools to build LLM Apps, Web Apps and Data Platforms.
• Run locally for development and production on AWS, with 1 command.

🚀 How it works

• Create your codebase from a template using phi ws create
• Run your app locally using phi ws up dev:docker
• Run your app on AWS using phi ws up prd:aws

Basic Example: Run a Jupyter Notebook

Requirements

• python 3.7+
• Install docker desktop

Setup

Open the terminal and create a python virtual environment

python3 -m venv ~/.venvs/labenv
source ~/.venvs/labenv/bin/activate

Install phidata

pip install phidata

Define DockerConfig that runs a Jupyter app

Create a file resources.py and add the following code to it

from phidata.app.jupyter import Jupyter
from phidata.docker.config import DockerConfig

dev_docker_config = DockerConfig(
    apps=[
        # -*- Run Jupyter on port 8888
        Jupyter(mount_workspace=True)
    ],
)

Start the app

phi start resources.py

• Open the browser and go to http://localhost:8888
• Password is admin

Stop the app

phi stop resources.py

More Information:

• Documentation: https://docs.phidata.com
• Questions: Chat with us on Discord
• Email: [e-mail]