98 lines
3.3 KiB
Python
98 lines
3.3 KiB
Python
import pyaudio
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import numpy
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import scipy.io.wavfile as wav
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import keyboard
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from sys import getsizeof
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import time
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RATE=48000
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RECORD_SECONDS = 20
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CHUNKSIZE = 1024*4 ## 1024
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samplesI = 0
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saves = 0
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def on_triggered(): #define your function to be executed on hot-key press
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global cb, saves
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print("Saved replay!")
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myBuf = frames[-320:]
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myBufLocal = frames2[-320:]
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numpydata = numpy.hstack(myBuf)
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numpydata2 = numpy.hstack(myBufLocal)
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saves+=1
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name = time.strftime("%Y-%m-%d_%H-%M-%S-out-")
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wav.write(name + str(saves) + '.wav',RATE,numpydata)
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wav.write(name + str(saves) + '-local.wav',RATE,numpydata2)
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#write_to_textfield(text_to_print) #<-- your function
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shortcut = 'alt+1'
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keyboard.add_hotkey(shortcut, on_triggered)
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# initialize portaudio
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cleanUp = False
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p = pyaudio.PyAudio()
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info = p.get_host_api_info_by_index(0)
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numdevices = info.get('deviceCount')
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incomingAudioChan = -1
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localAudioChan = -1
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deviceWithId = {}
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for i in range(0, numdevices):
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if (p.get_device_info_by_host_api_device_index(0, i).get('maxInputChannels')) > 0:
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print("Using " + p.get_device_info_by_host_api_device_index(0, i).get('name') + " for " + str(i))
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for i in range(0, numdevices):
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if (p.get_device_info_by_host_api_device_index(0, i).get('maxInputChannels')) > 0:
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deviceWithId[i] = p.get_device_info_by_host_api_device_index(0, i).get('name')
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# print("id ", i, " - ", p.get_device_info_by_host_api_device_index(0, i).get('name'))
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if("VoiceMeeter VAIO3 Output" in p.get_device_info_by_host_api_device_index(0, i).get('name')):
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localAudioChan = i
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print("Using " + p.get_device_info_by_host_api_device_index(0, i).get('name') + " for local stream " + str(i))
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if("CABLE" in p.get_device_info_by_host_api_device_index(0, i).get('name')):
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incomingAudioChan = i
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print("Using " + p.get_device_info_by_host_api_device_index(0, i).get('name') + " for Discord stream " + str(i))
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if(incomingAudioChan == -1 or localAudioChan == -1):
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print("FAILURE")
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exit
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stream = p.open(format=pyaudio.paInt16, channels=1, rate=RATE, input=True, frames_per_buffer=CHUNKSIZE, input_device_index=incomingAudioChan)
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streamLocal = p.open(format=pyaudio.paInt16, channels=1, rate=RATE, input=True, frames_per_buffer=CHUNKSIZE, input_device_index=localAudioChan)
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frames = [] # A python-list of chunks(numpy.ndarray)
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frames2 = []
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#for _ in range(0, int(RATE / CHUNKSIZE * RECORD_SECONDS)):
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print("Running!")
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try:
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while True:
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data = stream.read(CHUNKSIZE)
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frames.append(numpy.fromstring(data, dtype=numpy.int16))
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data = streamLocal.read(CHUNKSIZE)
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frames2.append(numpy.fromstring(data, dtype=numpy.int16))
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samplesI+=1
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#print(getsizeof(frames))
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if(len(frames) >= 900):
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cleanUp = True
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if(len(frames) <= 700):
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cleanUp = False
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# print(len(frames))
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if(cleanUp):
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# print("Cleaning")
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frames.pop(0)
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frames.pop(0)
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frames.pop(0)
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frames2.pop(0)
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frames2.pop(0)
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frames2.pop(0)
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except KeyboardInterrupt:
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stream.stop_stream()
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stream.close()
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p.terminate()
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print("!!!!", end="")
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print(samplesI)
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