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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 __init__(self, key, model_name): |
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pass |
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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, key, model_name="gpt-3.5-turbo"): |
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self.client = OpenAI(api_key=key) |
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self.model_name = model_name |
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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=self.model_name, |
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messages=history, |
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**gen_conf) |
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return res.choices[0].message.content.strip(), res.usage.completion_tokens |
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from dashscope import Generation |
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class QWenChat(Base): |
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def __init__(self, key, model_name=Generation.Models.qwen_turbo): |
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import dashscope |
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dashscope.api_key = key |
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self.model_name = model_name |
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def chat(self, system, history, gen_conf): |
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from http import HTTPStatus |
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history.insert(0, {"role": "system", "content": system}) |
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response = Generation.call( |
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self.model_name, |
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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'], response.usage.output_tokens |
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return response.message, 0 |
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