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

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

Huawei Cloud is currently one of the leading cloud service providers in China. It provides a rich API interface that can help us implement various function. This article will introduce how to use Python to connect to the Huawei Cloud interface and implement the audio editing function.

First, we need to register an account on the Huawei Cloud Developer Platform and create a project. Next, we need to install the Python SDK package. You can use the following command to install it:

pip install obs-sdk-python

Next, we can start writing code. First, we need to import some necessary libraries:

import json
import requests
import urllib.parse
import base64
import time
from obs import ObsClient

Next, we need to set the Access Key ID and Secret Access Key of Huawei Cloud. This information can be obtained on the Huawei Cloud Developer Platform:

access_key_id = 'your_access_key_id'
secret_access_key = 'your_secret_access_key'

Then, we need to implement a function to obtain the temporary access credentials of Huawei Cloud:

def get_temp_token():
    url = 'https://iam.myhuaweicloud.com/v3/auth/tokens'
    headers = {
        'Content-Type': 'application/json;charset=utf8'
    }
    data = {
        "auth": {
            "identity": {
                "methods": ["password"],
                "password": {
                    "user": {
                        "domain": {
                            "name": "your_domain_name"
                        },
                        "name": "your_username",
                        "password": "your_password"
                    }
                }
            },
            "scope": {
                "project": {
                    "name": "your_project_name"
                }
            }
        }
    }
    response = requests.post(url, headers=headers, data=json.dumps(data))
    token = response.headers['X-Subject-Token']
    return token

In the above code, we use the authentication interface of Huawei Cloud to obtain the access token. It should be noted that "your_domain_name", "your_username", "your_password" and "your_project_name" need to be replaced with the relevant information of the Huawei Cloud account.

Next, we can use the obtained token to initialize the ObsClient object and connect to Huawei Cloud's object storage service:

def init_obs_client():
    token = get_temp_token()
    obsClient = ObsClient(access_key_id, secret_access_key, token=token)
    return obsClient

With the ObsClient object, we can use Huawei Cloud's Object storage service to upload, download and delete files. For example, we can implement a function to upload files:

def upload_file(file_path, bucket_name, object_key):
    obsClient = init_obs_client()
    with open(file_path, 'rb') as file:
        resp = obsClient.putObject(bucket_name, object_key, file)
    if resp.status >= 200 and resp.status < 300:
        print('Upload successful')
    else:
        print('Upload failed:', resp.errorMessage)

Among them, "file_path" is the path of the file to be uploaded, "bucket_name" is the bucket name in the object storage service, and "object_key" is the file after uploading. The unique identifier of the file in the bucket.

Next, let’s implement the audio editing function. Huawei Cloud's audio editing service uses the audio editing API, and we can use this API to implement the audio editing function. We need to implement a function to call the API:

def audio_clipping(input_bucket, input_object, output_bucket, output_object, start_time, end_time):
    obsClient = init_obs_client()
    url = 'https://ais.cn-north-1.myhuaweicloud.com/v1.0/voice/audio-clip'
    headers = {
        'Content-Type': 'application/json;charset=utf8',
        'X-Auth-Token': obsClient.getSecurityToken()
    }
    data = {
        "input": {
            "obs": {
                "path": "obs://{}/{}".format(input_bucket, input_object)
            }
        },
        "output": {
            "obs": {
                "path": "obs://{}/{}".format(output_bucket, output_object)
            }
        },
        "parameters": {
            "start_time": start_time,
            "end_time": end_time
        }
    }
    response = requests.post(url, headers=headers, data=json.dumps(data))
    if response.status_code == 200:
        print('Audio clipping successful')
    else:
        print('Audio clipping failed:', response.text)

In the above code, "input_bucket", "input_object", "output_bucket" and "output_object" are the bucket and object where the input file and output file are located respectively. The unique identifier, "start_time" and "end_time" are the start time and end time of the audio clip respectively, which can be set by yourself.

Finally, we can call the above function to upload the audio file and edit it:

def main():
    file_path = 'your_file_path'
    bucket_name = 'your_bucket_name'
    object_key = 'your_object_key'
    upload_file(file_path, bucket_name, object_key)
    output_bucket = 'your_output_bucket_name'
    output_object = 'your_output_object_key'
    start_time = '00:00:10'
    end_time = '00:00:20'
    audio_clipping(bucket_name, object_key, output_bucket, output_object, start_time, end_time)

if __name__ == '__main__':
    main()

In the above code, "your_file_path" is the path of the audio file to be uploaded, "your_bucket_name" and "your_object_key" is the unique identifier of the bucket and object where the uploaded file is located respectively. "your_output_bucket_name" and "your_output_object_key" are the unique identifiers of the bucket and object where the edited audio file is located.

Through the above steps, we can use Python to connect to the Huawei Cloud interface to implement the audio editing function. Hope this article is helpful to you!

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