import streamlit as st st.set_page_config(page_title="Legal Document Analyzer", layout="wide") st.title("๐Ÿ“„ Autonomous Agent for Legal Document/Contract Analysis") st.markdown(""" Upload a legal document to analyze clauses, flag risks, and get suggestions based on Indian legal standards. """) uploaded_file = st.file_uploader("Upload your legal document (.txt, .pdf, .docx)", type=["txt", "pdf", "docx"]) if uploaded_file: st.success("File uploaded successfully!") st.subheader("๐Ÿ“˜ Document Preview") st.info("This is a placeholder for the document content preview.") st.subheader("๐Ÿ“‘ Clause Extraction & Categorization") st.warning("This section will display extracted clauses categorized by type (e.g., Indemnity, Confidentiality, Jurisdiction).") st.subheader("โš ๏ธ Risk Flagging") st.error("This section will highlight vague terms, missing clauses, or inconsistencies.") st.subheader("๐Ÿ’ก Suggestions & Improvements") st.success("This section will provide suggestions for improvements or missing clauses.") st.subheader("๐Ÿ“š Legal References") st.info("This section will map clauses to Indian laws or judgments using Indian Kanoon or similar.") st.subheader("๐Ÿงพ Ask the Agent") user_query = st.text_input("Ask a question about the document (e.g., 'What is the risk in the indemnity clause?')") if user_query: st.write("This is a placeholder response from the agent.") else: st.info("Please upload a document to begin analysis.")