first pass at turn based conversation

vocode/input_device/microphone_input.py

@@ -1,43 +0,0 @@
-import sounddevice as sd
-import numpy as np
-from typing import Optional
-import queue
-import wave
-
-from .base_input_device import BaseInputDevice
-from ..models.audio_encoding import AudioEncoding
-
-class MicrophoneInput(BaseInputDevice):
-
-    DEFAULT_SAMPLING_RATE = 44100
-    DEFAULT_CHUNK_SIZE = 2048
-
-    def __init__(self, device_info: dict, sampling_rate: int = None, chunk_size: int = DEFAULT_CHUNK_SIZE, microphone_gain: int = 1):
-        self.device_info = device_info
-        sampling_rate = sampling_rate or (self.device_info.get('default_samplerate', self.DEFAULT_SAMPLING_RATE))
-        super().__init__(int(sampling_rate), AudioEncoding.LINEAR16, chunk_size)
-        self.stream = sd.InputStream(
-            dtype=np.int16,
-            channels=1,
-             samplerate=self.sampling_rate,
-            blocksize=self.chunk_size,
-            device=int(self.device_info['index']),
-            callback=self._stream_callback
-        )
-        self.stream.start()
-        self.queue = queue.Queue()
-        self.microphone_gain = microphone_gain
-
-    def _stream_callback(self, in_data: np.ndarray[np.int16], *_args):
-        if self.microphone_gain > 1:
-            in_data = in_data * (2 ^ self.microphone_gain)
-        else:
-            in_data = in_data // (2 ^ self.microphone_gain)
-        audio_bytes = in_data.tobytes()
-        self.queue.put_nowait(audio_bytes)
-
-    def get_audio(self) -> Optional[bytes]:
-        try:
-            return self.queue.get_nowait()
-        except queue.Empty:
-            return None