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37 lines
1.2 KiB
37 lines
1.2 KiB
import requests
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def dialog_line_parse(url, text):
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"""
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将数据输入模型进行分析并输出结果
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:param url: 模型url
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:param text: 进入模型的数据
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:return: 模型返回结果
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"""
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response = requests.post(
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url,
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json=text,
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timeout=100000
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)
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if response.status_code == 200:
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return response.json()
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else:
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# logger.error(
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# "【{}】 Failed to get a proper response from remote "
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# "server. Status Code: {}. Response: {}"
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# "".format(url, response.status_code, response.text)
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# )
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print("【{}】 Failed to get a proper response from remote "
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"server. Status Code: {}. Response: {}"
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"".format(url, response.status_code, response.text))
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print(text)
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return {}
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with open("data/drop_weight_data.txt", encoding="utf-8") as f:
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text_list = [i for i in f.read().split("\n")]
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for i in text_list[:-1]:
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text = dialog_line_parse("http://192.168.31.74:19000", {"texts": f"改写下面这句话，要求意思接近但是改动幅度比较大，字数只能多不能少:\n{i}"})
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print("原文",i)
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print("模型预测", text)
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