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692155d
1
Parent(s):
138ccc5
Update app.py
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app.py
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@@ -3,12 +3,8 @@ import requests
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import datetime
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from langchain.llms import HuggingFaceHub
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from langchain.callbacks.manager import CallbackManager
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from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
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from langchain.chains import RetrievalQA
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from langchain.schema import LLMResult
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from langchain.callbacks.base import BaseCallbackHandler
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# Embed and store
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from langchain.vectorstores import Chroma
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@@ -17,7 +13,7 @@ from langchain.memory import ConversationBufferMemory
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from langchain.prompts import PromptTemplate
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from langchain.document_loaders import
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from langchain.chains import RetrievalQA
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embedding = HuggingFaceHubEmbeddings()
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@@ -38,7 +34,7 @@ docs = text_splitter.split_documents(docs)
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# text_splitter=RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=0)
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# all_splits = text_splitter.split_documents(data)
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vectorstore = Chroma.from_documents(documents=docs, embedding=embedding)
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import datetime
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from langchain.llms import HuggingFaceHub
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from langchain.chains import RetrievalQA
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# Embed and store
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from langchain.vectorstores import Chroma
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from langchain.prompts import PromptTemplate
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from langchain.document_loaders import RecursiveUrlLoader
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from langchain.chains import RetrievalQA
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embedding = HuggingFaceHubEmbeddings()
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# text_splitter=RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=0)
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# all_splits = text_splitter.split_documents(data)
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vectorstore = Chroma.from_documents(documents=docs, embedding=embedding)
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