https://github.com/kaustubhgupta/fastapi-demo

This is a demo code for implementing FastAPI while implementing machine learning deployment
https://github.com/kaustubhgupta/fastapi-demo

demo fastapi pydantic python sklearn

Last synced: about 1 month ago
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This is a demo code for implementing FastAPI while implementing machine learning deployment

• Host: GitHub
• URL: https://github.com/kaustubhgupta/fastapi-demo
• Owner: kaustubhgupta
• Created: 2020-11-23T19:00:36.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2020-11-26T09:07:11.000Z (almost 4 years ago)
• Last Synced: 2023-03-08T11:00:18.733Z (over 1 year ago)
• Topics: demo, fastapi, pydantic, python, sklearn
• Language: Python
• Homepage: https://www.analyticsvidhya.com/blog/2020/11/fastapi-the-right-replacement-for-flask/
• Size: 11.7 KB
• Stars: 12
• Watchers: 2
• Forks: 6
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# FastAPI-Demo

This repository holds the code used for article in Analytics Vidhya Blogathon. To read the corresponding article then head over to this link:

https://www.analyticsvidhya.com/blog/2020/11/fastapi-the-right-replacement-for-flask/

## Directory Explaination

- [tutorial.py](./tutorial.py) file is the one used for FastAPI demo code in article

- [music.py](./music.py) file is the class layout (Pydantic model) for data validation

- [main.py](./main.py) file is the music genre classifier FastAPI code

- [model_tree.pkl](./model_tree.pkl) is the decision tree classifier file