Stock price predictor

Very thankful to testdriven.io and their cool tutorial

Start server

uvicorn main:app --reload --workers 1 --host 0.0.0.0 --port 8008

Test model

python test_model.py

What's next?

1. Containerize your environment with Docker
2. Set up a database to save prediction results
3. Add logging and monitoring
4. Convert your view functions and the model prediction function into asynchronous functions
5. Run the prediction as a background task to prevent blocking
6. Add tests
7. Store trained models to AWS S3, outside of Heroku's ephemeral filesystem