add qwen openapi
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14
llm/LLM.py
14
llm/LLM.py
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@ -32,9 +32,9 @@ class LLM:
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return llm
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return llm
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def test_Qwen(self, question="如何应对压力?", model_path="Qwen/Qwen-1_8B-Chat"):
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def test_Qwen(self, question="如何应对压力?", model_path="Qwen/Qwen-1_8B-Chat", api_key=None, proxy_url=None):
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llm = Qwen(self.mode, model_path)
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llm = Qwen(model_path=model_path, api_key=api_key, api_base=proxy_url)
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answer = llm.generate(question)
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answer = llm.chat(question)
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print(answer)
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print(answer)
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def test_Gemini(self, question="如何应对压力?", model_path='gemini-pro', api_key=None, proxy_url=None):
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def test_Gemini(self, question="如何应对压力?", model_path='gemini-pro', api_key=None, proxy_url=None):
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@ -43,10 +43,12 @@ class LLM:
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print(answer)
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print(answer)
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if __name__ == '__main__':
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if __name__ == '__main__':
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# llm = LLM()
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llm = LLM()
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# llm.test_Gemini(api_key='你的API Key', proxy_url=None)
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# llm.test_Gemini(api_key='你的API Key', proxy_url=None)
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# llm = LLM().init_model('Gemini', model_path= 'gemini-pro',api_key='AIzaSyBWAWfT8zsyAZcRIXLS5Vzlw8KKCN9qsAg', proxy_url='http://172.31.71.58:7890')
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# llm = LLM().init_model('Gemini', model_path= 'gemini-pro',api_key='AIzaSyBWAWfT8zsyAZcRIXLS5Vzlw8KKCN9qsAg', proxy_url='http://172.31.71.58:7890')
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# response = llm.chat("如何应对压力?")
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# response = llm.chat("如何应对压力?")
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llm = LLM().init_model('VllmGPT', model_path= 'THUDM/chatglm3-6b')
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# llm = LLM().init_model('VllmGPT', model_path= 'THUDM/chatglm3-6b')
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response = llm.chat("如何应对压力?")
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# response = llm.chat("如何应对压力?")
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# print(response)
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# print(response)
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llm.test_Qwen(api_key="none", proxy_url="http://10.1.1.113:18000/v1")
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@ -18,7 +18,7 @@ class Qwen:
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self.local = True
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self.local = True
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# api_base和api_key不为空时使用openapi的方式
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# api_base和api_key不为空时使用openapi的方式
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if api_key is not None and base_url is not None:
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if api_key is not None and api_base is not None:
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openai.api_base = api_base
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openai.api_base = api_base
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openai.api_key = api_key
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openai.api_key = api_key
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self.local = False
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self.local = False
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