67 lines
2.2 KiB
Python
67 lines
2.2 KiB
Python
import logging
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from dashscope import Generation
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# from langchain.chains import LLMChain
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from langchain_community.chat_models import QianfanChatEndpoint, ChatTongyi
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# from langchain.chat_models import ChatOpenAI
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from langchain_core.prompts import SystemMessagePromptTemplate, HumanMessagePromptTemplate, ChatPromptTemplate
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from langchain_core.runnables import RunnableSequence
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from app.core.config import OPENAI_MODEL, OPENAI_API_KEY
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# os.environ["http_proxy"] = "http://127.0.0.1:7890"
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# os.environ["https_proxy"] = "http://127.0.0.1:7890"
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# llm = ChatOpenAI(model_name=OPENAI_MODEL,
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# openai_api_key=OPENAI_API_KEY,
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# temperature=0)
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def translate_to_en(text):
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template = (
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"""You are a translation expert, proficient in various languages.
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And can translate various languages into English.
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Please translate to grammatically correct English regardless of the input language.
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If the input is already in English, or consists of letters or numbers such as "cat", "abc", or "1",
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output the input text exactly as it is without any modifications or additions.
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If there are grammatical errors, correct them and then output the sentence."""
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)
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messages = [
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{
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"content": template, # 系统message
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"role": "system"
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},
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{
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# "content": input('请输入：'), # 用户message
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"content": text, # 用户message
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"role": "user"
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}
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]
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first_response = get_response(messages)
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assistant_output = first_response.output.choices[0].message
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print("translate result : {}".format(assistant_output))
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return assistant_output.content
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def get_response(messages):
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response = Generation.call(
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model='qwen-max',
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api_key='sk-7658298c6b99443c98184a5e634fe6ab',
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messages=messages,
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# seed=random.randint(1, 10000), # 设置随机数种子seed，如果没有设置，则随机数种子默认为1234
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result_format='message', # 将输出设置为message形式
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enable_search='True'
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)
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return response
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def main():
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"""Main function"""
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text = translate_to_en("fire")
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print(text)
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if __name__ == "__main__":
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main()
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