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