@st .cache_data doesn't work because hugging face uses an older streamlit version
Browse files
app.py
CHANGED
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@@ -12,7 +12,7 @@ from langchain import OpenAI
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from langchain import PromptTemplate
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@st.
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def load_vectorstore():
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# download from hugging face
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snapshot_download(repo_id="calmgoose/orwell-1984_faiss-instructembeddings",
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@@ -43,7 +43,7 @@ def load_vectorstore():
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return docsearch
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@st.
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def load_chain():
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BOOK_NAME = "1984"
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@@ -96,8 +96,6 @@ def get_answer(question):
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return result["result"] + "\n\n" + "From pages: " + sources_string
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# chain = load_chain()
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# From here down is all the StreamLit UI.
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st.set_page_config(page_title="Talk2Book: 1984", page_icon="📖")
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st.title("Talk2Book: 1984")
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from langchain import PromptTemplate
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@st.experimental_memo
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def load_vectorstore():
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# download from hugging face
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snapshot_download(repo_id="calmgoose/orwell-1984_faiss-instructembeddings",
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return docsearch
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+
@st.experimental_memo
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def load_chain():
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BOOK_NAME = "1984"
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return result["result"] + "\n\n" + "From pages: " + sources_string
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# From here down is all the StreamLit UI.
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st.set_page_config(page_title="Talk2Book: 1984", page_icon="📖")
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st.title("Talk2Book: 1984")
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