Prepare a Docker Setup with Inference Server

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Look at the project's existing structure for data processing and model inference. Determine which inference server to use (e.g., FastAPI, TorchServe) and how to containerize it. Check for any existing Dockerfiles or deployment scripts. The goal is to create a Docker setup that runs the inference service, likely defined in a Dockerfile and orchestrated with docker-compose.

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