Merge pull request #20 from jmeisele/jason/poetry-only

using only poetry for deps management

Author: jmeisele

.tool-versions

@@ -0,0 +1 @@
+python 3.8.0

Makefile

@@ -1,5 +1,5 @@
 PROJECT=fastapi-ml-scaffolding
-PYTHON_VERSION=3.6.13
+PYTHON_VERSION=3.8.0
 
 SOURCE_OBJECTS=app tests
 

README.md

@@ -1,44 +1,49 @@
 [![tests](https://github.com/jmeisele/fastapi-ml-scaffolding/actions/workflows/python-app.yml/badge.svg)](https://github.com/jmeisele/fastapi-ml-scaffolding/actions/workflows/python-app.yml)
 
-
 # FastAPI Model Server Scaffolding
 
 Serving machine learning models production-ready, fast, easy and secure powered by FastAPI by [Sebastián Ramírez](https://github.com/tiangolo).
 
-This repository contains a starter app which can be used to speed-up your next machine learning project. 
+This repository contains a starter app which can be used to speed-up your next machine learning project.
 
 To experiment and get a feeling on how to use this scaffolding, a sample regression model for house price prediction is included in this project. Follow the installation and setup instructions to run the sample model and serve it aso RESTful API.
 
 ## Requirements
 
-Python 3.6+
+Python 3.8+
 
 ## Installation/Setup
+
 Makefile provided to get you up and going quickly.
+
 ```bash
 make setup
 ```
 
 ## Run It
-1. Start your  app with: 
+
+1. Start your app with:
+
 ```bash
 poetry run uvicorn app.main:app
 ```
 
 2. Go to [http://localhost:8000/docs](http://localhost:8000/docs).
-   
 3. You can use the sample payload from the `docs/sample_payload.json` file when trying out the house price prediction model using the API.
    ![Prediction with example payload](./docs/sample_payload.png)
 
-
 ## Testing
+
 Makefile provided to provide test suite.
+
 ```bash
 make test
 ```
 
 ## Linting & Formatting
+
 Makefile provided to provide linting & formatting suite.
+
 ```bash
 make format
-```
+```