FastAPI PyTorch Example

Converted from official tutorial

Tasks:

1. Run the fastapi app: python app.py
2. Upload an image to classify, say a cat using the swagger docs url: /docs
3. Deploy to AWS using the free tier and the AWS App Runner service

Notes on Running docker with PyTorch and FastAPI

docker build .

Note this is your container name use: docker image ls to find (replace id with your image id):

docker run -p 127.0.0.1:8080:8080 54a55841624f

Verify Swagger Working

Go to /docs url

References

• Watch PyTorch walkthrough on YouTube
• Watch GitHub Universe Talk: Teaching MLOps at scale with Github
• Building Cloud Computing Solutions at Scale Specialization
• Python, Bash and SQL Essentials for Data Engineering Specialization
• Implementing MLOps in the Enterprise
• Practical MLOps: Operationalizing Machine Learning Models
• Coursera-Dockerfile