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| import os | |
| from langchain_backend.utils import create_prompt_llm_chain, create_retriever, getPDF | |
| from langchain.chains import create_retrieval_chain | |
| os.environ.get("OPENAI_API_KEY") | |
| def get_llm_answer(system_prompt, user_prompt, pdf_url, model): | |
| print('model: ', model) | |
| pages = None | |
| if pdf_url: | |
| pages = getPDF(pdf_url) | |
| else: | |
| pages = getPDF() | |
| retriever = create_retriever(pages) | |
| rag_chain = None | |
| if model: | |
| rag_chain = create_retrieval_chain(retriever, create_prompt_llm_chain(system_prompt, model)) | |
| else: | |
| rag_chain = create_retrieval_chain(retriever, create_prompt_llm_chain(system_prompt)) | |
| results = rag_chain.invoke({"input": user_prompt}) | |
| return results |