68 lines
2.1 KiB
Python
68 lines
2.1 KiB
Python
import time
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from pathlib import Path
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from openai import OpenAI
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import os
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def upload_file(file_path):
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"""
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Uploads a file to DashScope and returns the file ID.
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"""
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client = OpenAI(
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api_key=os.getenv("DASHSCOPE_API_KEY"),
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base_url="https://dashscope.aliyuncs.com/compatible-mode/v1"
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)
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file = client.files.create(file=Path(file_path), purpose="file-extract")
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return file.id
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def qianwen_long(file_id, user_query):
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print("call qianwen-long...")
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"""
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Uses a previously uploaded file to generate a response based on a user query.
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"""
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client = OpenAI(
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api_key=os.getenv("DASHSCOPE_API_KEY"),
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base_url="https://dashscope.aliyuncs.com/compatible-mode/v1"
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)
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# Generate a response based on the file ID
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completion = client.chat.completions.create(
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model="qwen-long",
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top_p=0.5,
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temperature=0.5,
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messages=[
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{
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'role': 'system',
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'content': f'fileid://{file_id}'
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},
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{
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'role': 'user',
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'content': user_query
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}
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],
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stream=False
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)
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# Return the response content
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return completion.choices[0].message.content
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if __name__ == "__main__":
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# Example file path - replace with your actual file path
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file_path = "C:\\Users\\Administrator\\Desktop\\货物标\\output4\\招标文件111_tobidders_notice_part1.docx"
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file_id = upload_file(file_path)
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user_query1 = ("根据该文档中的投标人(供应商、磋商)须知前附表，请你保留原有层次关系，以json格式返回给我表格中的信息。")
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user_query2 = ("请提供文件中关于资格审查的具体内容和标准。")
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start_time=time.time()
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# First query
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print("starting qianwen-long...")
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result1 = qianwen_long(file_id, user_query1)
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print("First Query Result:", result1)
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# # Second query
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# print("starting qianwen-long...")
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# result2 = qianwen_long(file_id, user_query2)
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# print("Second Query Result:", result2)
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# end_time=time.time()
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# print("elapsed time:"+str(end_time-start_time))
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