A collection of notebooks for the course DLAI HUGGINGFACE with local environment setup

• Collection of Notebooks
• Local venev setup using Poetry
• Docker Support with Optimisation Cache etc
• Run the Notebook Server with Docker

This repo contains an notebooks flocation contains the ntebooks

1. Clone the repository📂

git clone https://github.com/amjadraza/dlai-hf-course.git

2. Install dependencies with Poetry and activate virtual environment🔨

poetry install
poetry shell

3. Copy and Modify env.example to .env

Generate the HF API Key to be able to hosted models for inference and set the variables accordingly.

4. Run the JupyterLab server🚀

jupyter lab

This project includes Dockerfile to run the app in Docker container. In order to optimise the Docker Image size and building time with cache techniques, I have follow tricks in below Article https://medium.com/@albertazzir/blazing-fast-python-docker-builds-with-poetry-a78a66f5aed0

Build the docker container

docker build . -t dlai-hf-course:latest

To generate Image with DOCKER_BUILDKIT, follow below command

DOCKER_BUILDKIT=1 docker build --target=runtime . -t dlai-hf-course:latest

1. Run the docker container directly

docker run -d --name dlai-hf-course -p 8888:8888 dlai-hf-course:latest

2. Run the docker container using docker-compose (Recommended)

docker-compose up

Make sure to include the .env SECRETS file when running with docker-compose with your own Keys.

As dlai-hf-course:latest is a template project with minimal example. Report issues if you face any.

This is a template App, when using with openai_api key, you will be charged a nominal fee depending on number of prompts etc.