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audio.py
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audio.py
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import pyaudio
import wave
import subprocess
import keyboard
import re
# from tts import speak
import time
import threading
import numpy as np
# import io
class AudioProcess:
inputIdx = -1
outputIdx = -1
isRecording = False
isDoneRecordProcess = False
cancelRecording = False
exit = False
answerFn = None
def __init__(self):
self.inputIdx, self.outputIdx = self.getCurrentlyUsedDevices()
threading.Timer(0, self.recordingLive).start()
def listAudioInputDevices(self):
audio = pyaudio.PyAudio()
deviceCount = audio.get_device_count()
for i in range(deviceCount):
deviceInfo = audio.get_device_info_by_index(i)
if deviceInfo['maxInputChannels'] > 0:
print(f"Device ID {i}: {deviceInfo['name']}")
audio.terminate()
def getCurrentlyUsedDevices(self):
audio = pyaudio.PyAudio()
usedInputIndex = audio.get_default_input_device_info()['index']
usedOutputIndex = audio.get_default_output_device_info()['index']
print(f"Default Input ID: {usedInputIndex}, Output ID: {usedOutputIndex}")
audio.terminate()
return usedInputIndex, usedOutputIndex
def recording(self):
if self.exit:
return
if not self.isRecording:
threading.Timer(0.05, self.recording).start()
return
print("Please speak...")
self.isDoneRecordProcess = False
audio = pyaudio.PyAudio()
stream = audio.open(
format=pyaudio.paInt16,
channels=1,
rate=44100,
input=True,
input_device_index=self.inputIdx,
frames_per_buffer=1024)
frames = []
while True:
data = stream.read(1024)
frames.append(data)
if self.cancelRecording:
print("Cancel recording")
stream.stop_stream()
stream.close()
audio.terminate()
self.cancelRecording = False
self.isDoneRecordProcess = True
if not self.exit: threading.Timer(0.05, self.recording).start()
return
if not self.isRecording:
break
print("Recording Finished.")
stream.stop_stream()
stream.close()
audio.terminate()
with wave.open("output.wav", "wb") as wf:
wf.setnchannels(1)
wf.setsampwidth(audio.get_sample_size(pyaudio.paInt16))
wf.setframerate(44100)
wf.writeframes(b''.join(frames))
self.isDoneRecordProcess = True
if not self.exit: threading.Timer(0.05, self.recording).start()
return True
def recordingLive(self):
if self.exit:
return
if not self.isRecording:
threading.Timer(0.05, self.recordingLive).start()
return
print("Please speak...")
self.isDoneRecordProcess = False
audio = pyaudio.PyAudio()
stream = audio.open(
format=pyaudio.paInt16,
channels=1,
rate=44100,
input=True,
input_device_index=self.inputIdx,
frames_per_buffer=1024)
frames = []
silenceThreshold = 100
silenceTime = 0.5
currentTime = time.time()
lastFrameAccessed = -1
while True:
data = stream.read(1024)
audioData = np.frombuffer(data, dtype=np.int16)
# print(np.abs(audioData).mean())
if np.abs(audioData).mean() < silenceThreshold:
# print("It's below silenceThreshold...,", time.time() - currentTime)
if time.time() - currentTime < silenceTime: continue
currentTime = time.time()
if(len(frames) > 0 and lastFrameAccessed < len(frames)):
with wave.open("tempOutput.wav", "wb") as wf:
wf.setnchannels(1)
wf.setsampwidth(audio.get_sample_size(pyaudio.paInt16))
wf.setframerate(44100)
wf.writeframes(b''.join(frames))
# print("Writing to tempOutput with len:", len(frames))
result = self.transacribingAudioData("tempOutput.wav")
if(result == ""):
# print("Frame total", len(frames))
if(len(frames) > 50):
frames = []
pass
# print("Empty or not recognized Sound")
# lastFrameAccessed = len(frames)
else:
print(result)
if self.answerFn is not None:
self.answerFn(result)
frames = []
pass
else:
frames.append(data)
currentTime = time.time()
if self.cancelRecording:
print("Cancel recording")
stream.stop_stream()
stream.close()
audio.terminate()
self.cancelRecording = False
self.isDoneRecordProcess = True
if not self.isRecording:
break
if not self.exit: threading.Timer(0.05, self.recordingLive).start()
return True
def transacribingAudioData(self, data):
process = subprocess.Popen(['whisper/whisper-tiny.exe','-f',data, '-np', '--gpu', 'auto'],
stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout, stderr = process.communicate()
stdoutStr = stdout.decode('utf-8').strip()
pattern = r'\[.*\]\s*'
stdoutStr = re.sub(pattern, '', stdoutStr, flags=re.MULTILINE).strip()
returnCode = process.returncode
# if returnCode == 0:
# print(stdoutStr)
return stdoutStr
def transcribing(self):
process = subprocess.Popen(['whisper/whisper-small.exe','-f','output.wav', '-np', '--gpu', 'auto'],
stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout, stderr = process.communicate()
stdoutStr = stdout.decode('utf-8').strip()
pattern = r'\[.*\]\s*'
stdoutStr = re.sub(pattern, '', stdoutStr, flags=re.MULTILINE).strip()
returnCode = process.returncode
if returnCode == 0:
print(stdoutStr)
return stdoutStr