Spaces:
Runtime error
Runtime error
| from langchain import PromptTemplate, LLMChain | |
| import chainlit as cl | |
| from custom_llm import CustomLLM | |
| from langchain.prompts import ( | |
| ChatPromptTemplate, | |
| SystemMessagePromptTemplate, | |
| ) | |
| template = """ Write a python code for the following problem : | |
| {question} | |
| Code: | |
| """ | |
| def factory(): | |
| system_message_prompt = SystemMessagePromptTemplate.from_template(template) | |
| prompt = ChatPromptTemplate.from_messages([system_message_prompt]) | |
| llm = CustomLLM() | |
| llm_chain = LLMChain(prompt=prompt, llm=llm, verbose=True,) | |
| cl.user_session.set("llm_chain", llm_chain) | |
| async def main(message): | |
| llm_chain = cl.user_session.get("llm_chain") | |
| res = await llm_chain.acall(message.content, callbacks=[cl.AsyncLangchainCallbackHandler()]) | |
| await cl.Message(content=res["text"]).send() | |
| # This will be particularly useful when we want to customize this thing for production. | |
| def rename(orig_author): | |
| rename_dict = { | |
| 'LLMChain': 'Scooby' | |
| } | |
| return rename_dict.get(orig_author, orig_author) | |