python3 -m venv venv
./venv/bin/activate
pip install -r requirements.txt
docker build -t myflaskapi .
docker run -d -p 80:80 myflaskapi
pip install -r requirements.txt
streamlit run app.py
cdk init sample-app --language python
source .venv/bin/activate
pip install -r requirements.txt
cdk deploy
docker pull tensorflow/serving
docker run -it --rm -p 8501:8501 \
-v "$(pwd)/save/fmnist:/models/fmnist" \
-e MODEL_NAME=fmnist \
tensorflow/serving
docker run -it --rm -p 8501:8501 \
--mount type=bind,source="$(pwd)/save/",target="/models" \
tensorflow/serving --model_config_file=/models/models.config
curl -d '{"instances": []}' \
-X POST http://localhost:8501/v1/models/fmnist:predict