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The API was then modified to run the model in multiple processes, but not Flask. It was further refined to use PyTorch’s multi-processing feature to distribute the model across multiple processes.
Write me a Python Flask API to run on a Raspberry Pi and control some lights attached to GPIO pins. I have the following lights: Kitchen: pin 6 Bedroom: pin 13 Dining table: pin 19 Bathroom: pin 26 ...
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