Can I deploy a Julia-trained generative model as a REST API If so how

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Can you tell me if I can deploy a Julia-trained generative model as a REST API? If so, how?
Dec 10, 2024 in Generative AI by Ashutosh
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1 answer to this question.

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You can deploy a Julia-trained generative model as a REST API using the HTTP.jl package. Here are the steps you can follow:

Steps:

  • Load your trained model in Julia.
  • Use the HTTP.jl package to define API endpoints.
  • Process incoming requests and return the model's output.
Here is the code snippet you can refer to:

In the above code, we are using the following:

  • Model Integration: Replace the load_model function with code to load your actual trained generative model.
  • API Endpoint: The API_handler processes POST requests with input data in JSON format and returns the model's output.
  • Server Deployment: The HTTP.serve function starts a REST API on http://127.0.0.1:8080.

Hence, you can now interact with the API using tools like Curl or Postman. For production, containerize with Docker and deploy on a cloud platform like AWS or GCP.

answered Dec 11, 2024 by julia mehra

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