https://github.com/cosmic-cortex/fastapi-ml-quickstart

https://github.com/cosmic-cortex/fastapi-ml-quickstart

Last synced: about 4 hours ago
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• Host: GitHub
• URL: https://github.com/cosmic-cortex/fastapi-ml-quickstart
• Owner: cosmic-cortex
• License: mit
• Created: 2020-01-21T11:45:48.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-01-28T16:02:20.000Z (over 4 years ago)
• Last Synced: 2024-08-08T23:21:18.228Z (about 2 months ago)
• Language: Python
• Size: 2.41 MB
• Stars: 64
• Watchers: 4
• Forks: 36
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# fastAPI ML quickstart

## Project setup

1. Create the virtual environment.

```

virtualenv /path/to/venv --python=/path/to/python3

```

You can find out the path to your `python3` interpreter with the command `which python3`.

2. Activate the environment and install dependencies.

```

source /path/to/venv/bin/activate

pip install -r requirements.txt

```

3. Launch the service

```

uvicorn api.main:app

```

## Posting requests locally

When the service is running, try

```

127.0.0.1/docs

```

or 

```

curl

```

## Deployment with Docker

1. Build the Docker image

```

docker build --file Dockerfile --tag fastapi-ml-quickstart .

```

2. Running the Docker image

```

docker run -p 8000:8000 fastapi-ml-quickstart

```

3. Entering into the Docker image

```

docker run -it --entrypoint /bin/bash fastapi-ml-quickstart

```

## docker-compose

1. Launching the service

```

docker-compose up

```

This command looks for the `docker-compose.yaml` configuration file. If you want to use another configuration file,

it can be specified with the `-f` switch. For example  

2. Testing

```

docker-compose -f docker-compose.test.yaml up --abort-on-container-exit --exit-code-from fastapi-ml-quickstart

```