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46 lines
1.6 KiB
Python
46 lines
1.6 KiB
Python
import os
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import logging
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from langchain.chat_models import ChatOpenAI
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from langchain import PromptTemplate, LLMChain
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from langchain.prompts.chat import (
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ChatPromptTemplate,
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SystemMessagePromptTemplate,
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AIMessagePromptTemplate,
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HumanMessagePromptTemplate,
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)
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from langchain.schema import (
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AIMessage,
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HumanMessage,
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SystemMessage
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)
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# This logging incantation makes it easy to see that you're actually reaching your LocalAI instance rather than OpenAI.
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logging.basicConfig(level=logging.DEBUG)
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print('Langchain + LocalAI PYTHON Tests')
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base_path = os.environ.get('OPENAI_API_BASE', 'http://api:8080/v1')
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key = os.environ.get('OPENAI_API_KEY', '-')
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model_name = os.environ.get('MODEL_NAME', 'gpt-3.5-turbo')
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chat = ChatOpenAI(temperature=0, openai_api_base=base_path, openai_api_key=key, model_name=model_name, max_tokens=100)
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print("Created ChatOpenAI for ", chat.model_name)
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template = "You are a helpful assistant that translates {input_language} to {output_language}. The next message will be a sentence in {input_language}. Respond ONLY with the translation in {output_language}. Do not respond in {input_language}!"
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system_message_prompt = SystemMessagePromptTemplate.from_template(template)
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human_template = "{text}"
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human_message_prompt = HumanMessagePromptTemplate.from_template(human_template)
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chat_prompt = ChatPromptTemplate.from_messages([system_message_prompt, human_message_prompt])
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print("ABOUT to execute")
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# get a chat completion from the formatted messages
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response = chat(chat_prompt.format_prompt(input_language="English", output_language="French", text="I love programming.").to_messages())
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print(response)
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print("."); |