62 lines
2.3 KiB
Python
62 lines
2.3 KiB
Python
import os
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import requests
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import urllib3
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from tqdm import tqdm
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########################################
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# 该文件实现了与大模型的简单通信
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########################################
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# 忽略https的安全性警告
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urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
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def single_round(question, prefix=""):
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url = "https://45.125.46.134:25344/v1/chat/completions"
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headers = {"Content-Type": "application/json"}
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data = {
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"model": "RoboWaiter",
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"messages": [
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{
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"role": "system",
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# "content": "你是一个机器人服务员：RoboWaiter. 你的职责是为顾客提供对话及具身服务。"
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"content": """
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假设现在你是咖啡厅的一个顾客，请将以下你对咖啡厅服务员说的话改写成更清晰更合理的顾客表述。注意：句中的你指的是咖啡厅服务员，也不要说能帮我。
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例如：麻烦你去一下吧台。可以转述成：服务员，你能去下吧台吗？
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另一个例子：请你拿一下酸奶到吧台位置。可以转述成：服务员，拿一杯酸奶来吧台。
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"""
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},
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{
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"role": "user",
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"content": prefix + question
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}
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]
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}
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response = requests.post(url, headers=headers, json=data, verify=False)
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if response.status_code == 200:
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result = response.json()
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return result['choices'][0]['message']['content'].strip()
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else:
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return "大模型请求失败:", response.status_code
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if __name__ == '__main__':
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with open('./goal_states_with_description.txt', 'r', encoding='utf-8') as file:
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lines = file.readlines()
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output_file = './expansion_out/output2.txt'
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with open(output_file, 'a', encoding='utf-8') as file:
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file.truncate(0)
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for line in tqdm(lines):
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tmp = line[:-1].split('\t')
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# file.write("""{"title":"%s","text":"%s"}\n""" % (tmp[1], tmp[0]))
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question = tmp[1]
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# print(single_round(question))
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# print(tmp[1])
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with open(output_file, 'a', encoding='utf-8') as file:
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file.write(tmp[0] + "\t" + single_round(question, prefix="现在改写一下句子：") + '\n')
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print("输出完成")
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