使用Python与腾讯云接口对接，实现实时语音转写功能

pip install requests

import requestsimport jsondef recognize_speech(audio_file, secret_id, secret_key):    # 设置请求地址及参数    url = 'https://s.tencentcloudapi.com/'    params = {        'Action': 'CreateASRTask',        'Version': '2019-12-12',        'Region': 'ap-guangzhou',        'Timestamp': int(time.time()),        'Nonce': random.randint(1, 10000),        'SecretId': secret_id,        'SignatureMethod': 'HmacSHA256',    }    # 计算签名    sorted_params = sorted(params.items(), key=lambda x: x[0])    query_string = urlencode(sorted_params, quote_via=quote_plus)    src_str = 'POSTs.tencentcloudapi.com/?' + query_string    signature = base64.b64encode(hmac.new(secret_key.encode('utf-8'), src_str.encode('utf-8'), hashlib.sha256).digest()).decode('utf-8')    params['Signature'] = signature    # 读取音频文件    with open(audio_file, 'rb') as f:        file_content = base64.b64encode(f.read()).decode('utf-8')    # 构造请求数据    data = {        'TaskConfig': {            'EngineModelType': '16k_zh',        },        'Data': {            'Url': '',            'Data': file_content,        },    }    # 发送请求    response = requests.post(url, data=json.dumps(data), params=params)    # 解析返回结果    result = json.loads(response.text)    return resultif __name__ == '__main__':    audio_file = 'test.wav'    secret_id = 'your_secret_id'    secret_key = 'your_secret_key'    result = recognize_speech(audio_file, secret_id, secret_key)    print(result)