helper/src/speech.py

import requests
from scipy.io import wavfile


class Speech:

    @staticmethod
    def __check_wav(wav_file):
        sample_rate, sig = wavfile.read(wav_file)
        channels = len(sig.shape)
        bits = sig.dtype.base.name
        if sample_rate != 16000:
            raise Exception(f'Sample rate is not 16000: {sample_rate}')
        if channels != 1:
            raise Exception(f'Number of Channels is not 1 (Not mono): {channels}')
        if bits != 'int16':
            raise Exception(f'Bits per sample 16: {bits}')

    @staticmethod
    def __load_wav(wav_file):
        Speech.__check_wav(wav_file)
        with open(wav_file, 'rb') as file:
            result = file.read()
        return result

    @staticmethod
    def __stt(wav_file, server):
        print(f'Connecting to \'{server}\'...')
        response = requests.post(url=f'{server}/stt',
                                 data=Speech.__load_wav(wav_file),
                                 headers={'Content-Type': 'audio/wav'})
        result = response.json()

        if response.status_code != requests.codes.ok:
            response.raise_for_status()

        return result['text'] if not result['code'] else f'Server error: {result}'

    def run_recognition(self, wav_file: str, server: str) -> str:
        return self.__stt(wav_file, server)