https://github.com/sechi42/github-actions

Este proyecto automatiza el despliegue de un modelo de machine learning utilizando GitHub Actions. El pipeline CI/CD construye, prueba y despliega una imagen Docker en Amazon ECR, luego se implementa en una instancia EC2 para predecir la tasa de cancelación de clientes de la empresa Interconnect.
https://github.com/sechi42/github-actions

aws-ec2 aws-ecr fastapi python tensorflow

Last synced: 5 months ago
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Este proyecto automatiza el despliegue de un modelo de machine learning utilizando GitHub Actions. El pipeline CI/CD construye, prueba y despliega una imagen Docker en Amazon ECR, luego se implementa en una instancia EC2 para predecir la tasa de cancelación de clientes de la empresa Interconnect.

• Host: GitHub
• URL: https://github.com/sechi42/github-actions
• Owner: Sechi42
• Created: 2024-09-03T15:00:36.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-09-07T17:08:58.000Z (almost 2 years ago)
• Last Synced: 2025-07-12T12:44:27.878Z (12 months ago)
• Topics: aws-ec2, aws-ecr, fastapi, python, tensorflow
• Language: Python
• Homepage:
• Size: 4.14 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README

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README

          
# Setup Virtual Environment

```python

conda create -n fastapi-env python=3.12.4

conda activate fastapi-env

pip install -r requirements.txt

```

# Running the server

`uvicorn main:app --reload`

# `uvicorn main:my_first_api --reload`

The command `uvicorn main:app` refers to:

- main: the file main.py (the Python "module").

- app: the object created inside of main.py with the line app = FastAPI().

- --reload: make the server restart after code changes. Only use for development.

```

sudo yum update -y

sudo amazon-linux-extras install docker

sudo service docker start

sudo systemctl start docker

sudo service docker status

sudo groupadd docker

sudo usermod -a -G docker ec2-user

newgrp docker

docker —-version

# create ECR with name: my-flask-app

aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 866824485776.dkr.ecr.us-east-1.amazonaws.com