deploy-ml-fastapi

Deploy ml model with fastapi and docker container.

How to use ?

1. create and activate a virtual env

python -m venv virtual-env
source virtual-env/bin/activate

2. Install requirements

pip install -r requirements.txt

3. Generate model dump (optional)

python models/generate_pipeline.py

4. Run api server You can get more information on uvicorn here and FastApi here

uvicorn main:app  --app-dir api

4. Build docker image

docker build -t deploy-ml-fastapi .

5. Run docker container

docker run -d --name sentiment-analysis-api -p 80:80 deploy-ml-fastapi