Leslie Jones-Dove
commited on
Commit
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f0386c6
1
Parent(s):
e08502d
add custom handler
Browse files- __pycache__/handler.cpython-39.pyc +0 -0
- handler.py +26 -0
- test.py +10 -0
__pycache__/handler.cpython-39.pyc
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Binary file (1.35 kB). View file
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handler.py
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from typing import Dict, List, Any
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from transformers import pipeline, WhisperProcessor, WhisperForConditionalGeneration
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import torch
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class EndpointHandler():
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def __init__(self, path=""):
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device = 0 if torch.cuda.is_available() else "cpu"
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self.pipe = pipeline(
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task="automatic-speech-recognition",
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model=path,
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chunk_length_s=30,
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device=device,
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)
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def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
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"""
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data args:
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inputs (:obj: `str` | `PIL.Image` | `np.array`)
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kwargs
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Return:
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A :obj:`list` | `dict`: will be serialized and returned
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"""
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inputs = data.pop("inputs",data)
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print("inputs", inputs)
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prediction = self.pipe(inputs, return_timestamps=True)
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return prediction
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test.py
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from handler import EndpointHandler
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from datasets import load_dataset
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# init handler
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my_handler = EndpointHandler(path=".")
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# print(type(sample["data"]))
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prediction = my_handler({"inputs": "/Users/lesliejones-dove/Desktop/projects/Whisper/whisperx/whisperCustomHandler/Saffored_short.wav"})
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# /Users/lesliejones-dove/Desktop/projects/Whisper/whisperx/whisperCustomHandler
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print(prediction)
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