starfruitai 0.0.3

Starfruit AI - Deep Learning Deployments Made Simple

Starfruit AI

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Starfruit AI: Deep Learning Deployments Made Simple

Starfruit AI allows you to deploy deep learning models with one line of code. We handle all the deployment setup, maintenance, auto-scaling and regionalization. You just pay per call.

Installation
Create an account
API Key
Usage

Installation

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• Starfruit AI can be installed via PIP:

python -m pip install starfruitai

• Then used in your code with an import:

import starfruit as sf

Create an account

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• Go to https://starfruitai.com and create an account.

Get an API key

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• After creating your account, your API key will be displayed at the top of the screen.

Example Usage

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• Download a sample densenet model

    import torch
  
    model = torch.hub.load('pytorch/vision:v0.6.0', 'densenet121', pretrained=True)
  

• Use Starfruit AI to deploy the model

    import starfruit as sf
  
    # Authenticate with your API key
    sf.auth('API KEY GOES HERE')
  
    # Deploy your model to Starfruit AI's servers
    sf.pt_deploy(model, 'modelName', 'image_classifier')
  
    # Sucessfully Uploaded!: modelName
    # Timestamp: 1616644525649
  

• Use the returned timestamp to make prediction; we'll be using this image of a cat.
  

    # Make a prediction
    sf.predict('modelName', '1616644525649', 'cat.jpg')
  

• Get back a prediction in JSON format

  {
    "data": 
    {
      "Egyptian_cat": 0.7224083542823792,
      "tabby": 0.17468667030334473,
      "Siamese_cat": 0.02608460746705532,
      "lynx": 0.02026565931737423,
      "tiger_cat": 0.01653680019080639
    }
  }