NST - application based on the Perceptual Losses for Real-Time Style Transfer and Super-Resolution paper and Justin Johnson's pre-trained models.

Application implements:

• Develop an asynchronous API with Python and FastAPI
• Serve up a machine learning model with FastAPI
• Develop a UI with Streamlit
• Containerize FastAPI and Streamlit with Docker
• Leverage asyncio to execute code in the background outside the request/response flow

• FastAPI: for the API
• streamlit : for the interface
• Docker: to containerize the app

./download_models.sh

docker-compose up -d