Teach you how to use Python to connect to Huawei Cloud interface to implement audio conversion function

王林
Release: 2023-07-05 19:49:24
Original
1291 people have browsed it

Teach you how to use Python to connect to Huawei Cloud interface to implement audio conversion function

With the rapid development of artificial intelligence, audio conversion plays an increasingly important role in our lives. As a developer, we can use Python and the interface provided by Huawei Cloud to implement the audio conversion function. This article will introduce in detail how to connect to the Huawei Cloud interface and use the services it provides to achieve audio conversion. Without further ado, let’s get started!

First, we need to install Python’s requests library. The requests library is a simple and elegant HTTP library that can easily send HTTP requests. We can install it with the following command:

pip install requests
Copy after login

After the installation is complete, we can start writing code. First, we need to register an account from the Huawei Cloud official website and create an audio conversion service instance. After creating the instance, we will get an API Key and a Secret Key. These keys will be used for us to connect to the Huawei Cloud interface through code.

Next, we need to construct the HTTP request. For the audio conversion function, we can use Huawei Cloud's "Audio Transcription" service. Specific interface documents can be found on the Huawei Cloud official website. We need to construct a POST request and send the audio file as a parameter of the request to the interface.

The following is a sample code for audio conversion:

import requests
import base64
import json

def audio_conversion(audio_file):
    # 设置请求的URL
    url = 'https://api.cn-north-1.myhuaweicloud.com/v1.0/asr/long_sentence'

    # 设置请求的headers
    headers = {
        'Content-Type': 'application/json'
    }

    # 设置Authorization
    ak = 'your_api_key'
    sk = 'your_secret_key'
    token = base64.b64encode((ak + ':' + sk).encode('utf-8')).decode('utf-8')
    headers['Authorization'] = 'Basic ' + token

    # 读取音频文件
    with open(audio_file, 'rb') as f:
        audio_data = f.read()

    # 构建请求体
    payload = {
        "data": base64.b64encode(audio_data).decode('utf-8'),
        "encode_type": "pcm"
    }

    # 发送HTTP请求
    response = requests.post(url, data=json.dumps(payload), headers=headers)

    # 处理返回结果
    response_data = json.loads(response.text)
    if response_data['code'] == 0:
        result = response_data['result']
        print(result)
    else:
        print('音频转换失败!')

# 调用音频转换函数
audio_conversion('audio.wav')
Copy after login

In the above code, we first set the request URL, and then set the request headers, which includes our API Key and Secret Key . Next, we read the audio file and convert it to base64 encoded format. Finally, we build a dictionary as the request body, containing the audio data and encoding type. Finally, we send the HTTP request and process the returned results.

In the above code, we simply output the return result to the console. You can process the results according to your own needs.

So far, we have successfully connected to the Huawei Cloud interface and implemented the audio conversion function. Through this simple example, you can easily learn how to use Python to connect to the Huawei Cloud interface and use the services it provides to implement your own functions. Hope this article is helpful to you!

The above is the detailed content of Teach you how to use Python to connect to Huawei Cloud interface to implement audio conversion function. For more information, please follow other related articles on the PHP Chinese website!

Related labels:
source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template
About us Disclaimer Sitemap
php.cn:Public welfare online PHP training,Help PHP learners grow quickly!