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Create app.py
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app.py
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import streamlit as st
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import requests
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from PIL import Image
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# Hugging Face Deployment Compatibility
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st.set_page_config(page_title="Agentic RAG Legal Assistant", layout="wide")
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# Load background and sidebar images
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bg_image = "https://source.unsplash.com/1600x900/?law,court" # Background image
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sidebar_image = "https://source.unsplash.com/400x600/?law,justice" # Sidebar image
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# Custom CSS for background styling
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st.markdown(
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f"""
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<style>
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.stApp {{
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background: url({bg_image}) no-repeat center center fixed;
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background-size: cover;
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}}
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.sidebar .sidebar-content {{
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background: url({sidebar_image}) no-repeat center center;
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background-size: cover;
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}}
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</style>
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""",
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unsafe_allow_html=True,
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)
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# Sidebar Title
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st.sidebar.title("βοΈ Legal AI Assistant")
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st.sidebar.markdown("Your AI-powered legal research assistant.")
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# Main Heading
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st.markdown("# ποΈ Agentic RAG Legal Assistant")
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st.markdown("### Your AI-powered assistant for legal research and case analysis.")
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# Initialize conversation history
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if "chat_history" not in st.session_state:
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st.session_state.chat_history = []
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# User input
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user_query = st.text_input("π Enter your legal question:", "")
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# FastAPI backend URL
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API_URL = "http://127.0.0.1:8000/query/" # Change this to your deployed FastAPI URL
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if st.button("Ask AI") and user_query:
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with st.spinner("Fetching response..."):
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try:
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response = requests.post(API_URL, json={"query": user_query})
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response_json = response.json()
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ai_response = response_json.get("response", "Error: No response received.")
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except Exception as e:
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ai_response = f"Error: {e}"
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# Update chat history
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st.session_state.chat_history.append((user_query, ai_response))
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# Display chat history
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st.markdown("---")
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st.markdown("### π Chat History")
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for user_q, ai_r in st.session_state.chat_history:
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st.markdown(f"**π§ββοΈ You:** {user_q}")
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st.markdown(f"**π€ AI:** {ai_r}")
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st.markdown("---")
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# Footer
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st.markdown("---")
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st.markdown("π Powered by OpenAI, Pinecone, and LangChain.")
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