■ ChatOpenAI 클래스에서 SemanticSimilarityExampleSelector 객체를 사용해 채팅하는 방법을 보여준다.
※ OPENAI_API_KEY 환경 변수 값은 .env 파일에 정의한다.
▶ main.py
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from dotenv import load_dotenv from langchain_openai import OpenAIEmbeddings from langchain_chroma import Chroma from langchain_core.example_selectors import SemanticSimilarityExampleSelector from langchain_core.prompts import PromptTemplate from langchain_core.prompts.few_shot import FewShotPromptTemplate from langchain_openai import ChatOpenAI load_dotenv() exampleList = [ {"input" : "행복" , "output" : "슬픔" }, {"input" : "흥미" , "output" : "지루" }, {"input" : "불안" , "output" : "안정" }, {"input" : "긴 기차", "output" : "짧은 기차"}, {"input" : "큰 공" , "output" : "작은 공" } ] openAIEmbeddings = OpenAIEmbeddings() semanticSimilarityExampleSelector = SemanticSimilarityExampleSelector.from_examples( exampleList, openAIEmbeddings, Chroma, k = 1 ) examplePromptTemplate = PromptTemplate( input_variables = ["input", "output"], template = "Input : {input}\nOutput : {output}" ) fewShotPromptTemplate = FewShotPromptTemplate( example_selector = semanticSimilarityExampleSelector, example_prompt = examplePromptTemplate, prefix = "주어진 입력에 대해 반대의 의미를 가진 단어를 출력해주세요.", suffix = "Input : {단어}\nOutput : ", input_variables = ["단어"] ) chatOpenAI = ChatOpenAI(model_name = "gpt-4o-mini") runnableSequence = fewShotPromptTemplate | chatOpenAI responseAIMessage = runnableSequence.invoke({"단어" : "무서운"}) print(responseAIMessage.content) |
▶ requirements.txt
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annotated-types==0.7.0 anyio==4.4.0 asgiref==3.8.1 backoff==2.2.1 bcrypt==4.2.0 build==1.2.2 cachetools==5.5.0 certifi==2024.8.30 charset-normalizer==3.3.2 chroma-hnswlib==0.7.3 chromadb==0.5.3 click==8.1.7 colorama==0.4.6 coloredlogs==15.0.1 Deprecated==1.2.14 distro==1.9.0 fastapi==0.114.1 filelock==3.16.0 flatbuffers==24.3.25 fsspec==2024.9.0 google-auth==2.34.0 googleapis-common-protos==1.65.0 grpcio==1.66.1 h11==0.14.0 httpcore==1.0.5 httptools==0.6.1 httpx==0.27.2 huggingface-hub==0.24.6 humanfriendly==10.0 idna==3.8 importlib_metadata==8.4.0 importlib_resources==6.4.5 jiter==0.5.0 jsonpatch==1.33 jsonpointer==3.0.0 kubernetes==30.1.0 langchain-chroma==0.1.3 langchain-core==0.2.39 langchain-openai==0.1.23 langsmith==0.1.117 markdown-it-py==3.0.0 mdurl==0.1.2 mmh3==4.1.0 monotonic==1.6 mpmath==1.3.0 numpy==1.26.4 oauthlib==3.2.2 onnxruntime==1.19.2 openai==1.44.1 opentelemetry-api==1.27.0 opentelemetry-exporter-otlp-proto-common==1.27.0 opentelemetry-exporter-otlp-proto-grpc==1.27.0 opentelemetry-instrumentation==0.48b0 opentelemetry-instrumentation-asgi==0.48b0 opentelemetry-instrumentation-fastapi==0.48b0 opentelemetry-proto==1.27.0 opentelemetry-sdk==1.27.0 opentelemetry-semantic-conventions==0.48b0 opentelemetry-util-http==0.48b0 orjson==3.10.7 overrides==7.7.0 packaging==24.1 posthog==3.6.5 protobuf==4.25.4 pyasn1==0.6.1 pyasn1_modules==0.4.1 pydantic==2.9.1 pydantic_core==2.23.3 Pygments==2.18.0 PyPika==0.48.9 pyproject_hooks==1.1.0 pyreadline3==3.4.3 python-dateutil==2.9.0.post0 python-dotenv==1.0.1 PyYAML==6.0.2 regex==2024.7.24 requests==2.32.3 requests-oauthlib==2.0.0 rich==13.8.1 rsa==4.9 setuptools==74.1.2 shellingham==1.5.4 six==1.16.0 sniffio==1.3.1 starlette==0.38.5 sympy==1.13.2 tenacity==8.5.0 tiktoken==0.7.0 tokenizers==0.20.0 tqdm==4.66.5 typer==0.12.5 typing_extensions==4.12.2 urllib3==2.2.2 uvicorn==0.30.6 watchfiles==0.24.0 websocket-client==1.8.0 websockets==13.0.1 wrapt==1.16.0 zipp==3.20.1 |
※ pip install python-dotenv langchain-chroma langchain-openai 명령을 실행했다.