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62 lines
1.9 KiB
62 lines
1.9 KiB
2 years ago
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import requests
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import json
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# def request_api_chatgpt(text):
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#
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# url = "http://192.168.31.74:15000/predict"
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# data = {
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# "texts": text
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# }
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# response = requests.post(url,
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# data=json.dumps(data),
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# timeout=1800)
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#
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# return response
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url = "http://192.168.31.74:15000/predict"
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def dialog_line_parse(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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data = {
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"texts": text
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}
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response = requests.post(
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url,
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json=data
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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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title_list = ["幼小衔接下大班幼儿适应性的研究",
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"基于51单片机的智能温控风扇设计",
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"基于matlab的值指纹识别系统设计",
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"财务舞弊的成因及防范措施研究",
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"不孕症患者焦虑症状态及其影响因素",
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"消费者网络购物影响因素分析",
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"论恶意差评行为的法律定性与法律责任",
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"一例急性心肌梗死患者冠脉术后的护理",
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"上海财政扶持民办高等教育的问题及对策",
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"生鲜冷链物流配送选址-路径优化问题研究"]
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for i in title_list:
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print(i)
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dialog_line_parse(i)
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