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Tutorial on connecting Python and Youpaiyun interface: Implementing audio transcoding and effect adjustment functions
pip install upyun
import upyun # 构建又拍云对象 up = upyun.UpYun('bucket', 'operator', 'password') # 设置转码参数 params = { 'source': '/source_file.mp3', 'notify_url': 'http://your_notify_url', 'tasks': [ { 'type': 'audio', 'avopts': '/ar/44100/ac/1/ab/128k/amr/aw/16/as/mono', 'path': '/transcoded_file.amr' } ] } # 发起转码请求 result = up.transcoding(params) # 打印转码结果 print(result)
In the above code, we first imported the upyun module and created an UpYun object. Then, the transcoding related parameters are set, including the source file path, callback URL, and transcoding task information. Finally, initiate a transcoding request by calling the transcoding method of the UpYun object, and print out the transcoding results.
import upyun # 构建又拍云对象 up = upyun.UpYun('bucket', 'operator', 'password') # 设置效果参数 params = { 'source': '/source_file.amr', 'notify_url': 'http://your_notify_url', 'tasks': [ { 'type': 'audio', 'avopts': '/af/volume=1.5', 'path': '/adjusted_file.amr' } ] } # 发起效果调整请求 result = up.transcoding(params) # 打印效果调整结果 print(result)
In the above code, we also imported the upyun module and created an UpYun object. Then, the relevant parameters of effect adjustment are set, including source file path, callback URL and effect adjustment task information. Finally, the effect adjustment request is initiated by calling the transcoding method of the UpYun object, and the effect adjustment result is printed out.
At the same time, we also learned about other functions and interfaces provided by Youpaiyun, including image processing, file management, etc. In actual applications, these interfaces can be used flexibly according to specific needs to achieve better results.
It is worth noting that the code examples in this article are for reference only, and actual applications need to be appropriately modified and optimized according to specific circumstances.
I hope this article can provide you with some help and guidance when using Python to connect with Youpai Cloud interface. If you have any questions or concerns, please feel free to leave a message or contact Youpaiyun officials.
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