KyleIsaacs commited on
Commit
4d9b259
·
1 Parent(s): a7c42d3

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -24,7 +24,7 @@ embedding = HuggingFaceHubEmbeddings()
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  loader = PyPDFLoader("sample.pdf")
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  pages = loader.load_and_split()
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- text_splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=0)
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  docs = text_splitter.split_documents(pages)
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  vectorstore = Chroma.from_documents(documents=docs, embedding=embedding)
@@ -43,7 +43,7 @@ chain_type_kwargs = {"prompt": PROMPT}
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  llm = HuggingFaceHub(repo_id="mistralai/Mistral-7B-v0.1", model_kwargs={"temperature":0.1, "max_new_tokens":250})
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- qachain=RetrievalQA.from_chain_type(llm, retriever=vectorstore.as_retriever(), memory=memory, chain_type_kwargs=chain_type_kwargs)
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  st.header("#CodeWars localGPT", divider='rainbow')
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  option = st.selectbox('What is your role?', ('Support', 'Sales'))
 
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  loader = PyPDFLoader("sample.pdf")
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  pages = loader.load_and_split()
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+ text_splitter = RecursiveCharacterTextSplitter(chunk_size=250, chunk_overlap=0)
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  docs = text_splitter.split_documents(pages)
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  vectorstore = Chroma.from_documents(documents=docs, embedding=embedding)
 
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  llm = HuggingFaceHub(repo_id="mistralai/Mistral-7B-v0.1", model_kwargs={"temperature":0.1, "max_new_tokens":250})
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+ qachain=RetrievalQA.from_chain_type(llm, retriever=vectorstore.as_retriever(), chain_type_kwargs=chain_type_kwargs)
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  st.header("#CodeWars localGPT", divider='rainbow')
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  option = st.selectbox('What is your role?', ('Support', 'Sales'))