MLWebserviceGo

MLWebserviceGo

Example app for serving ML apps over a webservice.

Usage

Requirements

1. Create a Firebase project.

   https://firebase.google.com/docs/web/setup

2. Enable email authentication for project.

Configure

Rename .env.example to .env and replace [YOUR_PROJECT_ID] and [YOUR_FIREBASE_API_KEY] fields.

Run

In main folder, run go run github.com/mrtkp9993/MLWebservice/cmd.

Example Requests

Login request:

curl --location --request POST 'http://localhost:1323/login' \
--form 'email=EMAIL_ADDRESS' \
--form 'password=PASSWORD'

Predict request:

curl --location --request POST 'http://localhost:1323/predict' \
--header 'Content-Type: application/x-www-form-urlencoded' \
--data-urlencode 'token=IDTOKEN' \
--data-urlencode 'x0=1' \
--data-urlencode 'x1=5'

TODO

• Implement PMML & ONNX model
• Add support & examples for more ML models
• Make app structure more easily testable and write unit tests
• Write documentation