49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
from openai import OpenAI
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client = OpenAI(
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api_key="none",
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base_url="http://202.195.167.142:8000/v1"
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)
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# 初始化对话历史列表
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conversation_history_origin = []
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conversation_history = conversation_history_origin.copy()
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while True:
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conversation_history = conversation_history_origin.copy()
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query = input('Enter Your Q: ')
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# 将用户的问题添加到对话历史中
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conversation_history.append({"role": "user", "content": query})
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# Chat completion API
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stream = client.chat.completions.create(
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model="minimind",
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messages=conversation_history, # 传递整个对话历史
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stream=True
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)
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print('minimind: ', end='')
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assistant_res = ''
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for chunk in stream:
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# 将生成的回复实时打印出来
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print(chunk.choices[0].delta.content or "", end="")
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assistant_res += chunk.choices[0].delta.content or ""
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# 当完成生成回复后，将LLM的回答也添加到对话历史中
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conversation_history.append({"role": "assistant", "content": assistant_res})
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print()
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# # Example: reuse your existing OpenAI setup
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# from openai import OpenAI
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#
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# # Point to the local server
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# client = OpenAI(base_url="http://202.195.167.206:8000/v1", api_key="none")
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#
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# completion = client.chat.completions.create(
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# model="minimind",
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# messages=[{"role": "user", "content": "世界上最高的山是？"}],
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# stream=False
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# )
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#
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# print(completion.choices[0].message)
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