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.