34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
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import requests
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import json
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import time
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start_time = time.time()
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# Flask API的URL
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api_url = 'http://122.51.206.54:4800/asr'
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# 要识别的音频文件的URL
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# audio_url = 'https://cm-1255337128.cos.ap-guangzhou.myqcloud.com/asr-service/Chinese.wav'
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audio_url = 'https://cm-1255337128.cos.ap-guangzhou.myqcloud.com/asr-service/English.wav'
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# audio_url = 'https://cm-1255337128.cos.ap-guangzhou.myqcloud.com/asr-service/Cantonese.wav'
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# audio_url = 'https://cm-1255337128.cos.ap-guangzhou.myqcloud.com/asr-service/20241213-8akzhpov.wav'
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# 构造请求数据
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data = {
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'audio_url': audio_url
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}
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# 发送POST请求
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headers = {'Content-Type': 'application/json'}
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response = requests.post(api_url, data=json.dumps(data), headers=headers)
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# 处理响应
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if response.status_code == 200:
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result = response.json()
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# 假设返回的结果中包含一个'predictions'键，其值是一个包含识别结果的列表
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for prediction in result['predictions']:
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print('Recognized Text:', prediction['text'])
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else:
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print('Error:', response.json())
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end_time = time.time()
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elapsed_time = end_time - start_time
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print(f"代码块运行时长: {elapsed_time:.6f} 秒")
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