chatbot sherika

phase/Student_view/chatbot.py

@@ -60,11 +60,12 @@ def _normalize_messages():
     st.session_state.messages = normed
 
 def _history_for_backend():
-    """Convert our local history into [{role, content}] for the backend."""
+    """Convert our local history into [{role, content}] for the backend,
+    excluding the static welcome message."""
     hist = []
     for m in st.session_state.get("messages", []):
         text = (m.get("text") or "").strip()
-        if not text:
+        if not text or text == TUTOR_WELCOME:
             continue
         role = "assistant" if (m.get("sender") == "assistant") else "user"
         hist.append({"role": role, "content": text})
@@ -97,6 +98,7 @@ def show_page():
     st.title("🤖 AI Financial Tutor")
     st.caption("Get personalized help with your financial questions")
 
+    # --- session state init ---
     if "messages" not in st.session_state:
         st.session_state.messages = [{
             "id": "1",
@@ -106,9 +108,12 @@ def show_page():
         }]
     if "is_typing" not in st.session_state:
         st.session_state.is_typing = False
+    if "chatbot_prefill_sent" not in st.session_state:
+        st.session_state.chatbot_prefill_sent = False
 
     _normalize_messages()
 
+    # --- render chat bubbles ---
     chat_container = st.container()
     with chat_container:
         for msg in st.session_state.messages:
@@ -130,7 +135,16 @@ def show_page():
         if st.session_state.is_typing:
             st.markdown("🤖 _FinanceBot is typing..._")
 
-    # Quick suggestions when only the welcome is present
+    # --- quiz handoff auto-prompt (only once) ---
+    prefill = st.session_state.get("chatbot_prefill")
+    if prefill and not st.session_state.chatbot_prefill_sent:
+        add_message(prefill, "user")
+        st.session_state.is_typing = True
+        st.session_state.chatbot_prefill_sent = True
+        st.session_state.chatbot_prefill = None
+        st.rerun()
+
+    # --- quick suggestions when fresh ---
     if len(st.session_state.messages) == 1:
         st.markdown("Try asking about:")
         cols = st.columns(2)
@@ -146,19 +160,22 @@ def show_page():
                 st.session_state.is_typing = True
                 st.rerun()
 
+    # --- user input ---
     user_input = st.chat_input("Ask me anything about personal finance...")
     if user_input:
         add_message(user_input, "user")
         st.session_state.is_typing = True
         st.rerun()
 
+    # --- handle pending bot reply ---
     if st.session_state.is_typing:
         with st.spinner("FinanceBot is thinking..."):
-            bot_reply = _reply_via_backend(st.session_state.messages[-1]["text"])
+            last_user_msg = next((m["text"] for m in reversed(st.session_state.messages) if m["sender"] == "user"), "")
+            bot_reply = _reply_via_backend(last_user_msg)
             add_message(bot_reply, "assistant")
         st.session_state.is_typing = False
         st.rerun()
 
     if st.button("Back to Dashboard", key="ai_tutor_back_btn"):
         st.session_state.current_page = "Student Dashboard"
-        st.rerun()
+        st.rerun()