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import streamlit as st
import os
import tempfile
from pathlib import Path
from typing import List, Dict, Any
from utils.pdf_processor import PDFProcessor
from utils.vector_store import VectorStoreManager
from utils.rag_chain import InsuranceRAGChain
from config import Config
# Page configuration
st.set_page_config(
page_title="Insurance Helper",
layout="wide",
initial_sidebar_state="expanded"
)
# Custom CSS
st.markdown("""
<style>
.main-header {
font-size: 2.5rem;
font-weight: bold;
color: #1f77b4;
text-align: center;
margin-bottom: 1rem;
}
.sub-header {
font-size: 1.2rem;
color: #666;
text-align: center;
margin-bottom: 2rem;
}
.source-box {
background-color: #f0f2f6;
padding: 1rem;
border-radius: 0.5rem;
margin: 0.5rem 0;
color: #000000 !important
}
.source-box strong {
color: #1f77b4 !important;
}
.success-msg {
color: #28a745;
font-weight: bold;
}
.error-msg {
color: #dc3545;
font-weight: bold;
}
</style>
""", unsafe_allow_html=True)
def initialize_session_state():
"""Initialize session state variables"""
if 'messages' not in st.session_state:
st.session_state.messages = []
if 'uploaded_files' not in st.session_state:
st.session_state.uploaded_files = []
if 'documents_processed' not in st.session_state:
st.session_state.documents_processed = True #
if 'pdf_processor' not in st.session_state:
st.session_state.pdf_processor = PDFProcessor()
if 'vs_manager' not in st.session_state:
try:
st.session_state.vs_manager = VectorStoreManager()
except Exception as e:
st.error(f"Failed to initialize Vector Store: {str(e)}")
st.stop()
if 'rag_chain' not in st.session_state:
st.session_state.rag_chain = InsuranceRAGChain(st.session_state.vs_manager)
if 'collection_created' not in st.session_state:
st.session_state.collection_created = True
def detect_query_intent(question: str) -> str:
"""
Automatically detect the intent of the user's question
Args:
question: User's question
Returns:
Query mode string
"""
question_lower = question.lower()
# Check for add-on related queries
addon_keywords = ['addon', 'add-on', 'rider', 'optional cover', 'additional cover',
'recommend', 'should i take', 'which cover', 'extra protection']
if any(keyword in question_lower for keyword in addon_keywords):
return "addons"
# Check for exclusion related queries
exclusion_keywords = ['exclusion', 'not covered', 'does not cover', "doesn't cover",
'what is excluded', 'not include', 'gap', 'missing']
if any(keyword in question_lower for keyword in exclusion_keywords):
return "exclusions"
# Check for coverage related queries
coverage_keywords = ['what is covered', 'coverage', 'what does it cover', 'included',
'protection', 'insured for', 'claim for']
if any(keyword in question_lower for keyword in coverage_keywords):
return "coverage"
# Check for term explanation queries
term_keywords = ['explain', 'what is', 'what does', 'meaning of', 'define',
'idv', 'ncb', 'depreciation', 'premium', 'term']
if any(keyword in question_lower for keyword in term_keywords):
return "terms"
# Default to general query
return "general"
def save_uploaded_file(uploaded_file) -> str:
"""Save uploaded file to temporary directory"""
try:
temp_dir = tempfile.gettempdir()
file_path = os.path.join(temp_dir, uploaded_file.name)
with open(file_path, "wb") as f:
f.write(uploaded_file.getbuffer())
return file_path
except Exception as e:
st.error(f"Error saving file: {str(e)}")
return None
def process_pdfs(file_paths: List[str]) -> bool:
"""Process PDFs and add to vector store"""
try:
with st.spinner("Processing PDFs..."):
# Process all PDFs
all_chunks, all_metadata = st.session_state.pdf_processor.process_multiple_pdfs(file_paths)
if not all_chunks:
st.error("No content extracted from PDFs")
return False
# Create collection if not exists
if not st.session_state.collection_created:
st.session_state.vs_manager.create_collection(recreate=False)
st.session_state.collection_created = True
# Add documents to vector store
st.session_state.vs_manager.add_documents(all_chunks)
st.success(f"Successfully processed {len(file_paths)} PDF(s) with {len(all_chunks)} chunks")
return True
except Exception as e:
st.error(f"Error processing PDFs: {str(e)}")
return False
def display_message(message: Dict[str, Any]):
"""Display a chat message"""
with st.chat_message(message["role"]):
st.markdown(message["content"])
# Display sources if available
if "sources" in message and message["sources"]:
with st.expander(f"View {len(message['sources'])} Sources"):
for source in message["sources"]:
st.markdown(f"""
<div class="source-box">
<strong>Source {source['index']}:</strong> {source['source_file']} (Page {source['page']})<br>
<strong>Section:</strong> {source['section_type']}<br>
<strong>Preview:</strong> {source['content_preview']}
</div>
""", unsafe_allow_html=True)
def sidebar():
"""Render sidebar with controls"""
with st.sidebar:
# Smart mode indicator
st.markdown("#### Smart Mode")
st.info("The system automatically detects your question type and uses the best search strategy!")
st.markdown("---")
# Show what queries trigger what modes
with st.expander("How Smart Mode Works"):
st.markdown("""
**Exclusions Mode**
- "What's not covered?"
- "What are the exclusions?"
**Coverage Mode**
- "What is covered?"
- "What does this policy include?"
**Terms Explanation**
- "Explain IDV"
- "What does NCB mean?"
**General Mode**
- Everything else
""")
st.markdown("---")
# Clear chat button
if st.button("Clear Chat History", use_container_width=True):
st.session_state.messages = []
st.rerun()
def main():
"""Main application"""
# Initialize session state
initialize_session_state()
# Render sidebar
sidebar()
# Main header
st.markdown('<div class="main-header">Insurance Helper</div>', unsafe_allow_html=True)
st.markdown('<div class="sub-header">Understanding your insurance made easy</div>', unsafe_allow_html=True)
# Display chat messages
for message in st.session_state.messages:
display_message(message)
# Chat input
if prompt := st.chat_input("Ask about your insurance..."):
# Add user message
st.session_state.messages.append({"role": "user", "content": prompt})
display_message({"role": "user", "content": prompt})
# Get response based on auto-detected query intent
with st.chat_message("assistant"):
with st.spinner("Thinking..."):
try:
# Automatically detect query intent
detected_intent = detect_query_intent(prompt)
intent_name = {
"addons": "Add-ons Analysis",
"exclusions": "Exclusions Check",
"coverage": "Coverage Analysis",
"terms": "Term Explanation",
"general": "General Query"
}
st.caption(f"{intent_name.get(detected_intent, 'General Query')}")
# Route to appropriate query method
if detected_intent == "addons":
result = st.session_state.rag_chain.query_specific_section(
prompt,
section_type="addons"
)
elif detected_intent == "exclusions":
result = st.session_state.rag_chain.query_specific_section(
prompt,
section_type="exclusions"
)
elif detected_intent == "coverage":
result = st.session_state.rag_chain.query_specific_section(
prompt,
section_type="coverage"
)
else: # terms or general
result = st.session_state.rag_chain.query(prompt)
# Display answer
st.markdown(result["answer"])
# Display sources
if "sources" in result and result["sources"]:
with st.expander(f"View {len(result['sources'])} Sources"):
for source in result["sources"]:
st.markdown(f"""
<div class="source-box">
<strong>Source {source['index']}:</strong> {source['source_file']} (Page {source['page']})<br>
<strong>Section:</strong> {source['section_type']}<br>
<strong>Preview:</strong> {source['content_preview']}
</div>
""", unsafe_allow_html=True)
# Add assistant message to history
st.session_state.messages.append({
"role": "assistant",
"content": result["answer"],
"sources": result.get("sources", [])
})
except Exception as e:
error_msg = f"Error processing query: {str(e)}"
st.error(error_msg)
st.session_state.messages.append({
"role": "assistant",
"content": error_msg
})
if __name__ == "__main__":
try:
Config.validate_config()
main()
except ValueError as e:
st.error(f"Configuration Error: {str(e)}")
st.info("Please ensure your .env file contains all required API keys.") |