Update main.py

main.py

@@ -1,4 +1,38 @@
 from fastapi import FastAPI
+import datetime
+import torch
+import os
+from transformers import Wav2Vec2Processor, Wav2Vec2ForCTC, Wav2Vec2ProcessorWithLM, AutoConfig
+from huggingface_hub import hf_hub_download
+from fuzzywuzzy import fuzz
+from utils import ffmpeg_read, query_dummy, query_raw, find_different
+
+## config
+API_TOKEN = os.environ["API_TOKEN"]
+MODEL_PATH = os.environ["MODEL_PATH"]
+PITCH_PATH = os.environ["PITCH_PATH"]
+QUANTIZED_MODEL_PATH = hf_hub_download(repo_id=MODEL_PATH, filename='quantized_model.pt', token=API_TOKEN)
+QUANTIZED_PITCH_MODEL_PATH = hf_hub_download(repo_id=PITCH_PATH, filename='quantized_model.pt', token=API_TOKEN)
+
+
+## word preprocessor
+processor_with_lm = Wav2Vec2ProcessorWithLM.from_pretrained(MODEL_PATH, use_auth_token=API_TOKEN)
+processor = Wav2Vec2Processor.from_pretrained(MODEL_PATH, use_auth_token=API_TOKEN)
+
+### quantized model
+config = AutoConfig.from_pretrained(MODEL_PATH, use_auth_token=API_TOKEN)
+dummy_model = Wav2Vec2ForCTC(config)
+quantized_model = torch.quantization.quantize_dynamic(dummy_model, {torch.nn.Linear}, dtype=torch.qint8, inplace=True)
+quantized_model.load_state_dict(torch.load(QUANTIZED_MODEL_PATH))
+
+## pitch preprocessor 
+processor_pitch = Wav2Vec2Processor.from_pretrained(PITCH_PATH, use_auth_token=API_TOKEN)
+
+### quantized pitch mode
+config = AutoConfig.from_pretrained(PITCH_PATH, use_auth_token=API_TOKEN)
+dummy_pitch_model = Wav2Vec2ForCTC(config)
+quantized_pitch_model = torch.quantization.quantize_dynamic(dummy_pitch_model, {torch.nn.Linear}, dtype=torch.qint8, inplace=True)
+quantized_pitch_model.load_state_dict(torch.load(QUANTIZED_PITCH_MODEL_PATH))
 
 app = FastAPI()