Teach you step by step how to use Python to connect to Qiniu Cloud interface to realize audio transcoding and synthesis

Teach you step by step how to use Python to connect to Qiniu Cloud interface to achieve audio transcoding and synthesis

Introduction:
Now, with the development of digital technology, audio processing has become indispensable in many application scenarios. The missing part, such as audio sharing, audio editing, etc. For developers, how to use Python to connect to the Qiniu Cloud interface to implement audio transcoding and synthesis functions will become an important skill. This article will teach you step by step how to set up a development environment, detail how to use Python to connect to the Qiniu Cloud interface, implement audio transcoding and synthesis functions, and provide code examples for reference.

1. Set up a development environment

1. Install Python: First, we need to set up a Python development environment locally. Go to the Python official website (https://www.python.org/) to download the latest version of Python and follow the installation wizard to install it.
2. Install Qiniu Cloud SDK: In order to facilitate the connection with Qiniu Cloud interface, we need to install Qiniu Cloud SDK. Use the pip command in the command line to install:

pip install qiniu

2. Audio upload
Before starting to use the Qiniu Cloud interface, we first need to upload the audio file Go to Qiniu Cloud Server. The specific steps are as follows:

1. Introduce dependencies:

import qiniu

2. Configure Qiniu Cloud Access Key and Secret Key:

access_key = 'your_access_key'
secret_key = 'your_secret_key'

3. Build Qiniu Cloud object:

q = qiniu.Auth(access_key, secret_key)

4. Define Qiniu Cloud space name and audio file name:

bucket_name = 'your_bucket_name'
key = 'your_audio_file_name'

5. Generate audio upload credentials:

token = q.upload_token(bucket_name, key, 3600)

6. Open the audio file and upload:

local_file_path = 'your_local_audio_file_path'
ret, info = qiniu.put_file(token, key, local_file_path)

7. Check the upload result:

if info. status_code == 200:

print('音频上传成功！')

else:

print('音频上传失败！')

3. Audio transcoding and synthesis
After completing the audio upload, we can use the audio processing function provided by Qiniu Cloud for conversion code and synthesis. The specific steps are as follows:

1. Introduce dependencies:

import requests

2. Define Qiniu cloud processing interface address and audio transcoding parameters:

audio_api = 'http://api.qiniu.com/pfop/'
fops = 'your_audio_transcode_params'

3. Define transcoding task ID:

task_id = 'your_task_id'

4. Define request headers:

headers = {

'Content-Type': 'application/x-www-form-urlencoded',

}

5. Build request Payload:

payload = {

'bucket': bucket_name,
'key': key,
'fops': fops,
'notifyURL': 'your_notify_url',
'force': 1

}

6. Initiate transcoding request:

response = requests.post(audio_api task_id, headers=headers, data=payload)

7. Check the transcoding result:

if response.status_code == 200:

print('音频转码成功！')

else:

print('音频转码失败！')

Summary:
Through the introduction of this article, we have learned how to use Python to connect to the Qiniu Cloud interface to implement audio transcoding and synthesis functions. First, we set up a Python development environment and installed Qiniu Cloud SDK. Then, we demonstrated how to upload audio files to Qiniu Cloud Server through Python code and check the upload results. Finally, we introduced how to use the audio processing interface provided by Qiniu Cloud to transcode and synthesize audio, and verified the method of transcoding results. I hope this article will help you understand how to use Python to connect to the Qiniu Cloud interface to implement audio transcoding and synthesis functions. If you have any questions, please leave a message for discussion.

Code example:

import qiniu
import requests

# 音频上传
access_key = 'your_access_key'
secret_key = 'your_secret_key'
q = qiniu.Auth(access_key, secret_key)
bucket_name = 'your_bucket_name'
key = 'your_audio_file_name'
token = q.upload_token(bucket_name, key, 3600)
local_file_path = 'your_local_audio_file_path'
ret, info = qiniu.put_file(token, key, local_file_path)
if info.status_code == 200:
    print('音频上传成功！')
else:
    print('音频上传失败！')

# 音频转码与合成
audio_api = 'http://api.qiniu.com/pfop/'
fops = 'your_audio_transcode_params'
task_id = 'your_task_id'
headers = {
    'Content-Type': 'application/x-www-form-urlencoded',
}
payload = {
    'bucket': bucket_name,
    'key': key,
    'fops': fops,
    'notifyURL': 'your_notify_url',
    'force': 1
}
response = requests.post(audio_api + task_id, headers=headers, data=payload)
if response.status_code == 200:
    print('音频转码成功！')
else:
    print('音频转码失败！')

Reference link:

• Qiniu Cloud official website: https://www.qiniu.com/
• 七Niuyun Developer Center: https://developer.qiniu.com/

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