RAG Based RBAS for chatbot

app.py

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+#pip install streamlit
+import streamlit as st
+import requests
+
+# --- Streamlit Page Config ---
+st.set_page_config(
+    page_title="FinSolve",
+    page_icon="🤖",
+    layout="wide"
+)
+
+# --- Sidebar: User Authentication and Role Selection ---
+st.sidebar.title("📅 User Panel")
+st.sidebar.subheader("Login")
+
+username = st.sidebar.text_input("Username")
+role = st.sidebar.selectbox("Select Role", [
+    "Employee", "Finance", "Marketing", "HR", "Engineering", "C-Level"
+])
+authenticate = st.sidebar.button("Login")
+
+# Simulate authentication
+session_state = st.session_state
+if 'authenticated' not in session_state:
+    session_state.authenticated = False
+if 'chat_history' not in session_state:
+    session_state.chat_history = []
+
+if authenticate:
+    if username:
+        session_state.authenticated = True
+        session_state.username = username
+        session_state.role = role
+    else:
+        st.sidebar.warning("Please enter a username.")
+
+# --- Main Chat Interface ---
+st.title("🌐 FinSolve Role-Based AI Chatbot")
+
+if session_state.authenticated:
+    st.success(f"Welcome, {session_state.username} ({session_state.role})")
+
+    user_input = st.text_input("Ask a question:", placeholder="e.g., Show me the Q2 financial report...")
+    ask_button = st.button("Send")
+
+    chat_area = st.container()
+
+    if ask_button and user_input:
+        # Display user query
+        session_state.chat_history.append(("user", user_input))
+
+        # --- Simulated Backend Request ---
+        with st.spinner("Processing your query..."):
+            response = requests.post(
+                "http://localhost:8000/query",
+                json={
+                    "user": session_state.username,
+                    "role": session_state.role,
+                    "query": user_input
+                }
+            )
+
+        if response.status_code == 200:
+            result = response.json()
+            session_state.chat_history.append(("bot", result['response']))
+        else:
+            session_state.chat_history.append(("bot", "Error fetching response from server."))
+
+    # --- Display Chat History ---
+    with chat_area:
+        for sender, msg in session_state.chat_history:
+            if sender == "user":
+                st.markdown(f"**You:** {msg}")
+            else:
+                st.markdown(f"**Chatbot:** {msg}")
+
+else:
+    st.warning("Please log in using the sidebar to access the chatbot.")
+
+# --- Footer ---
+st.markdown("---")
+st.markdown("Built by FinSolve AI Engineering | © 2025")
+# After code is executed,
+#streamlit run "path of saved file"