Spaces:
Sleeping
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New App.py with the retrieval documents
Browse files
app.py
ADDED
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import streamlit as st
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from rag_query import query_rag
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# Custom CSS for styling
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st.markdown("""
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<style>
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.main {background-color: #f5f5f5;}
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.stTextInput > div > div > input {border: 2px solid #4CAF50; border-radius: 5px;}
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.stSelectbox > div > div > select {border: 2px solid #4CAF50; border-radius: 5px;}
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.stButton > button {
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background-color: #333333; /* Dark grey */
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color: white;
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border-radius: 5px;
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border: none;
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padding: 10px 20px;
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font-size: 16px;
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}
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.stButton > button:hover {
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background-color: #4CAF50; /* Green on hover */
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color: white;
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}
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.umc-header {
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font-size: 24px; /* Adjusted font size for sidebar */
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font-weight: bold;
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margin-top: 10px; /* Space between logo and text */
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margin-bottom: 20px; /* Space before Instructions */
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}
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.spacer {
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margin-top: 30px; /* Space between text and Instructions */
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}
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.chunk-dropdown {
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margin-top: 20px;
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margin-bottom: 20px;
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}
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</style>
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""", unsafe_allow_html=True)
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# Initialize session state for password and query history
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if "authenticated" not in st.session_state:
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st.session_state.authenticated = False
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if "query_history" not in st.session_state:
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st.session_state.query_history = [] # Store queries and responses
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if "retrieved_chunks" not in st.session_state:
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st.session_state.retrieved_chunks = [] # Store retrieved chunks
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# Main app title (shown on all screens)
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st.title("United Methodist Church Discipline Assistant")
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st.write("Ask questions about The Book of Discipline 2020-2024!")
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# Password form (shown only if not authenticated)
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if not st.session_state.authenticated:
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with st.form(key="password_form"):
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password = st.text_input("Enter password:", type="password", key="password")
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submit_password = st.form_submit_button("Login")
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if submit_password:
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if password == "umc2024": # Password as set
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st.session_state.authenticated = True
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st.experimental_rerun() # Refresh to show main app
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else:
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st.error("Incorrect password. Please try again.")
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# Main app content (shown only if authenticated)
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if st.session_state.authenticated:
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# Interactive input with sample questions
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sample_questions = [
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"Can you tell me the history of United Methodist Church",
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"What does the Constitution say about inclusiveness?",
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"Tell me about John Wesley."
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]
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query = st.selectbox("Pick a question or type your own:", [""] + sample_questions, key="query_select") or st.text_input("Your question:", key="query_input")
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# Process query and display response
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if st.button("Submit"):
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with st.spinner("Fetching response..."):
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# Retrieve chunks and response
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results = vector_store.similarity_search(query, k=5) # Assuming vector_store is accessible
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st.session_state.retrieved_chunks = results # Store retrieved chunks
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response = query_rag(query)
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st.session_state.query_history.append((query, response)) # Store query and response
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# Display query history
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for i, (q, r) in enumerate(st.session_state.query_history):
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st.markdown(f"**Query {i+1}: {q}**")
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st.markdown(r)
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# Display retrieved chunks in a dropdown
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if st.session_state.retrieved_chunks:
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chunk_options = [f"Chunk {j+1}: {chunk.page_content[:100]}..." for j, chunk in enumerate(st.session_state.retrieved_chunks)]
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selected_chunk = st.selectbox("View Retrieved Chunks:", ["Select a chunk"] + chunk_options, key=f"chunk_select_{i}")
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if selected_chunk != "Select a chunk":
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chunk_index = int(selected_chunk.split(":")[0].split(" ")[1]) - 1
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chunk = st.session_state.retrieved_chunks[chunk_index]
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st.markdown("**Retrieved Chunk Details:**")
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st.markdown(f"**Source:** {chunk.metadata['source']}")
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if chunk.metadata["part"]:
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st.markdown(f"**Part:** {chunk.metadata['part']}")
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st.markdown(f"**Heading:** {chunk.metadata['heading']}")
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if chunk.metadata["paragraph_number"]:
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st.markdown(f"**Paragraph {chunk.metadata['paragraph_number']}:** {chunk.metadata['paragraph_title']}")
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st.markdown(f"**Text:** {chunk.page_content}")
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st.markdown("---")
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# New prompt window with sample questions
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if st.session_state.query_history: # Show only after at least one query
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st.markdown("### Ask Another Question")
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new_query = st.selectbox("Pick another question or type your own:", [""] + sample_questions, key="new_query_select") or st.text_input("Your new question:", key="new_query_input")
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if st.button("Submit New Query"):
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with st.spinner("Fetching response..."):
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results = vector_store.similarity_search(new_query, k=5)
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st.session_state.retrieved_chunks = results
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response = query_rag(new_query)
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st.session_state.query_history.append((new_query, response))
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st.experimental_rerun() # Refresh to show new response
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# Sidebar with logo, text, and instructions (always shown)
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st.sidebar.image("UMC_Logo.png", width=200) # Adjusted logo size for sidebar
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st.sidebar.markdown('<p class="umc-header">United Methodist Communications</p>', unsafe_allow_html=True)
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st.sidebar.markdown('<div class="spacer"></div>', unsafe_allow_html=True) # Add space
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st.sidebar.header("Instructions")
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st.sidebar.write("Enter a question about The United Methodist Church's Book Of Discipline 2020-2024. The assistant will retrieve relevant sections and explain them in simple language, citing parts, paragraphs, and titles as needed.")
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st.sidebar.header("About")
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st.sidebar.write("Powered by United Methodist Communications.")
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