text: encoded_input = tokenizer(text, return_tensors='pt').input_ids    output = model.generate(encoded_input, max_length=50, do_sample=True)    return tokenizer.decode(output[0], skip_special_tokens=True)@stub.function()@modal.web_endpoint(method="POST")def get_text(item: Item):    return {"prompt": run_gpt2.call(item.prompt)}Deploy the web endpointâ€‹Deploy the web endpoint to Modal cloud with the modal deploy CLI command.