FastMlOps 0.0.2

a package that use for esay way for deploy ml model with fastapi

FastMlOps

esay to deploy your ml model

example

from FastMlOps import FastMlOps

app = FastMlOps()

config = {
    "method" : "POST" ,
    "path" : "/getclass" ,
    "inputModel" : {
        "x" : int,
        "y" : int
    } , 
    "responseModel" : {
        "catagory" : str ,
        "confidence" : float
    },
    "model" : "model1.h5"
}

app.createAPI(config)

• method : use for http method ex. GET , POST
• path : url path for test server
• inputModel : input of your ml model
• responseModel : output of your ml model
• model : path to your ml model ex. "/path/ml.h5"

connect to

http://localhost:8000/docs#/

enjoy for ez API