File size: 1,161 Bytes
fa4523a 8ebc1d4 fa4523a 42c44d1 fa4523a 42c44d1 fa4523a 42c44d1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 |
from typing import Dict, List, Any
from transformers import AutoProcessor, MusicgenForConditionalGeneration
import torch
class EndpointHandler:
def __init__(self, path=""):
# load model and processor from path
self.processor = AutoProcessor.from_pretrained(path)
self.model = MusicgenForConditionalGeneration.from_pretrained(path, torch_dtype=torch.float16).to("cuda")
def __call__(self, data: Dict[str, Any]) -> bytes:
"""
Args:
data (:dict:):
The payload with the text prompt and generation parameters.
"""
# process input
inputs = data.pop("inputs", data)
parameters = data.pop("parameters", None)
# preprocess
inputs = self.processor(
text=[inputs],
padding=True,
return_tensors="pt",).to("cuda")
# pass inputs with all kwargs in data
with torch.autocast("cuda"):
outputs = self.model.generate(**inputs, do_sample=False, max_new_tokens=400)
# postprocess the prediction
prediction = outputs[0].cpu().numpy().tobytes()
return prediction |