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Parent(s):
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Update app.py
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app.py
CHANGED
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@@ -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=
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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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@@ -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(),
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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'))
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