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Update app.py
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app.py
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@@ -4,7 +4,8 @@ import pickle
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from langchain.prompts import ChatPromptTemplate
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from langchain_huggingface import HuggingFaceEmbeddings
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from huggingface_llm import HuggingFaceLLM
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from langchain.retrievers import ParentDocumentRetriever
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from langchain.storage import InMemoryStore
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from langchain_chroma import Chroma
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@@ -79,11 +80,17 @@ def get_chain(temperature):
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retriever = load_retriever(docstore_path,chroma_path,embeddings,child_splitter,parent_splitter)
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# Replace the local OLMOLLM with the Hugging Face model
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today = date.today()
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# Response prompt
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from langchain.prompts import ChatPromptTemplate
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from langchain_huggingface import HuggingFaceEmbeddings
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# from huggingface_llm import HuggingFaceLLM
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from langchain import HuggingFaceLLM
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from langchain.retrievers import ParentDocumentRetriever
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from langchain.storage import InMemoryStore
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from langchain_chroma import Chroma
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retriever = load_retriever(docstore_path,chroma_path,embeddings,child_splitter,parent_splitter)
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# Replace the local OLMOLLM with the Hugging Face model
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model_name = "gpt2"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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# Initialize LangChain
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llm = HuggingFaceLLM(model=model, tokenizer=tokenizer)
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# llm = HuggingFaceLLM(
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# model_id="EleutherAI/gpt-neo-1.3B", # or another suitable model
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# temperature=temperature,
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# max_tokens=256
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# )
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today = date.today()
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# Response prompt
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