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38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
from abc import ABC
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from openai import OpenAI
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import os
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class Base(ABC):
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def chat(self, system, history, gen_conf):
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raise NotImplementedError("Please implement encode method!")
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class GptTurbo(Base):
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def __init__(self):
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self.client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
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def chat(self, system, history, gen_conf):
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history.insert(0, {"role": "system", "content": system})
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res = self.client.chat.completions.create(
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model="gpt-3.5-turbo",
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messages=history,
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**gen_conf)
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return res.choices[0].message.content.strip()
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class QWenChat(Base):
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def chat(self, system, history, gen_conf):
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from http import HTTPStatus
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from dashscope import Generation
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# export DASHSCOPE_API_KEY=YOUR_DASHSCOPE_API_KEY
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history.insert(0, {"role": "system", "content": system})
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response = Generation.call(
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Generation.Models.qwen_turbo,
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messages=history,
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result_format='message'
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)
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if response.status_code == HTTPStatus.OK:
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return response.output.choices[0]['message']['content']
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return response.message
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