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84 lines
2.1 KiB
84 lines
2.1 KiB
import io
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import pyaudio
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import requests
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import time
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import wave
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from grove.factory import Factory
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button = Factory.getButton('GPIO-HIGH', 5)
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audio = pyaudio.PyAudio()
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microphone_card_number = 1
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speaker_card_number = 1
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rate = 48000
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def capture_audio():
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stream = audio.open(format = pyaudio.paInt16,
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rate = rate,
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channels = 1,
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input_device_index = microphone_card_number,
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input = True,
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frames_per_buffer = 4096)
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frames = []
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while button.is_pressed():
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frames.append(stream.read(4096))
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stream.stop_stream()
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stream.close()
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wav_buffer = io.BytesIO()
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with wave.open(wav_buffer, 'wb') as wavefile:
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wavefile.setnchannels(1)
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wavefile.setsampwidth(audio.get_sample_size(pyaudio.paInt16))
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wavefile.setframerate(rate)
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wavefile.writeframes(b''.join(frames))
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wav_buffer.seek(0)
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return wav_buffer
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speech_api_key = '<key>'
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location = '<location>'
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language = '<language>'
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def get_access_token():
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headers = {
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'Ocp-Apim-Subscription-Key': speech_api_key
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}
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token_endpoint = f'https://{location}.api.cognitive.microsoft.com/sts/v1.0/issuetoken'
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response = requests.post(token_endpoint, headers=headers)
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return str(response.text)
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def convert_speech_to_text(buffer):
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url = f'https://{location}.stt.speech.microsoft.com/speech/recognition/conversation/cognitiveservices/v1'
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headers = {
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'Authorization': 'Bearer ' + get_access_token(),
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'Content-Type': f'audio/wav; codecs=audio/pcm; samplerate={rate}',
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'Accept': 'application/json;text/xml'
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}
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params = {
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'language': language
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}
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response = requests.post(url, headers=headers, params=params, data=buffer)
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response_json = response.json()
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if response_json['RecognitionStatus'] == 'Success':
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return response_json['DisplayText']
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else:
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return ''
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def process_text(text):
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print(text)
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while True:
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while not button.is_pressed():
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time.sleep(.1)
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buffer = capture_audio()
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text = convert_speech_to_text(buffer)
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process_text(text) |