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Python and Youpaiyun interface docking tutorial: realizing audio segmentation and merging

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Release: 2023-07-08 10:30:07
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Tutorial on connecting Python and Youpai Cloud interface: Implementing audio segmentation and merging

With the development of artificial intelligence and big data technology, audio processing is increasingly used in various industries. The segmentation and merging of audio is one of the common requirements in audio processing. This article will introduce how to use Python to connect with Youpai Cloud interface to realize audio splitting and merging operations.

Youpaiyun is a leading cloud storage and content distribution network service provider in China. It provides a rich API interface to facilitate developers to operate files in cloud storage. We can use Youpaiyun's interface to upload, download, split and merge audio.

First of all, we need to install the python-sdk of Youpaiyun. It can be installed through the pip command:

pip install upyun
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After the installation is completed, we can start writing code. First, we need to introduce the upyun module and configure Youpaiyun’s service address, operator and password:

import upyun

service = upyun.UpYun(
    service_name='your_service',
    operator='your_operator',
    password='your_password'
)
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Next, we can use Youpaiyun’s interface to perform audio segmentation operations. Youpaiyun provides the put method for uploading files. We can use this method to upload audio files to Youpaiyun’s storage space:

service.put('/your_bucket/your_file.mp3', open('your_file.mp3', 'rb'))
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Among them, /your_bucket /your_file.mp3 is the path of the file in Youpai cloud storage space, your_file.mp3 is the path of the local file.

Next, we can use Youpaiyun’s interface to perform audio segmentation operations. Youpaiyun provides the mkdir method for creating a directory. We can use this method to create a directory for storing split audio files:

service.mkdir('/your_bucket/your_folder')
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Then, we can use Youpaiyun The interface performs audio splitting operations. Youpaiyun provides the process method for processing files in cloud storage. We can use this method to split audio files:

params = {
    'notify_url': 'your_notify_url',
    'source': '/your_bucket/your_file.mp3',
    'tasks': [
        {
            'type': 'audio',
            'args': {
                'source': '/your_bucket/your_file.mp3',
                'save_as': '/your_bucket/your_folder/part1.mp3',
                'avopts': '/ss/60/120'
            }
        },
        {
            'type': 'audio',
            'args': {
                'source': '/your_bucket/your_file.mp3',
                'save_as': '/your_bucket/your_folder/part2.mp3',
                'avopts': '/ss/120'
            }
        }
    ]
}

service.process(params)
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Among them, /your_bucket/ your_file.mp3 is the path of the audio file that needs to be split in Youpai cloud storage space, /your_bucket/your_folder/part1.mp3 and /your_bucket/your_folder/part2.mp3 is the path of the split audio file in Youpai cloud storage space, /ss/60/120 and /ss/120 are the start time and end time of the split.

Finally, we can use Youpaiyun’s interface to merge audio. Youpaiyun provides the process method, which we can use to merge the split audio files:

params = {
    'notify_url': 'your_notify_url',
    'tasks': [
        {
            'type': 'audio',
            'args': {
                'source': ['/your_bucket/your_folder/part1.mp3', '/your_bucket/your_folder/part2.mp3'],
                'save_as': '/your_bucket/your_folder/combined.mp3',
                'avopts': '/c/force'
            }
        }
    ]
}

service.process(params)
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Among them, ['/your_bucket/your_folder/part1.mp3 ', '/your_bucket/your_folder/part2.mp3'] is the path of the audio file that needs to be merged in Youpai cloud storage space, /your_bucket/your_folder/combined.mp3 is the merged The path of the audio file in Youpai cloud storage space, /c/force is to force the original file to be overwritten.

Through the above code, we can achieve audio splitting and merging operations. Using Python to connect with Youpai Cloud interface, we can easily process audio files, which facilitates the development of audio processing-related applications. I hope this article can be helpful to everyone!

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