| import numpy as np | |
| from .init import pipe | |
| TASK = "transcribe" | |
| class A2T: | |
| def __init__(self, mic): | |
| self.mic = mic | |
| def __transcribe(self, inputs, task: str = None): | |
| if inputs is None: | |
| print("Inputs None") | |
| transcribed_text = pipe(inputs, generate_kwargs={"task": task}, return_timestamps=True)["text"] | |
| print(transcribed_text) | |
| return transcribed_text | |
| def predict(self): | |
| try: | |
| if self.mic is not None: | |
| chunk = self.mic | |
| audio = np.array(chunk) | |
| print(audio) | |
| else: | |
| return "please provide audio" | |
| if isinstance(audio , np.ndarray): | |
| return self.__transcribe(inputs=audio, task=TASK) | |
| else: | |
| return "Audio is not np array" | |
| except Exception as e: | |
| print("Predict error", e) | |
| return "Oops some kinda error" | |