Update page1.py

page1.py

@@ -8,40 +8,25 @@ from langchain.memory.chat_message_histories import StreamlitChatMessageHistory
 from streamlit_chat import message
 import time
 def text():
-    st.markdown("""
-                <style>
-                    .anim-typewriter {
-                        animation: typewriter 3s steps(40) 1s 1 normal both, blinkTextCursor 800ms steps(40) infinite normal;
-                        overflow: hidden;
-                        white-space: nowrap;
-                        border-right: 3px solid;
-                        font-family: serif;
-                        font-size: 0.9em;
-                    }
-                    @keyframes typewriter {
-                        from {
-                            width: 0;
-                        }
-                        to {
-                            width: 100%;
-                            height: 100%
-                        }
-                    }
-                    @keyframes blinkTextCursor {
-                        from {
-                            border-right-color: rgba(255, 255, 255, 0.75);
-                        }
-                        to {
-                            border-right-color: transparent;
-                        }
-                    }
-                </style>
-            """, unsafe_allow_html=True)
-    text ="Hello 👋, how may I assist you today?"
-    animated_output = f'<div class="line-1 anim-typewriter">{text}</div>'
-
-    with st.chat_message("assistant").markdown(animated_output,unsafe_allow_html=True ):
-        st.markdown(animated_output,unsafe_allow_html=True)
+    with st.chat_message("assistant"):
+        message_placeholder = st.empty()
+        full_response = ""
+        assistant_response = random.choice(
+            [
+                "Hello there! How can I assist you today?",
+                "Hi, human! Is there anything I can help you with?",
+                "Do you need help?"
+            ]
+        )
+        # Simulate stream of response with milliseconds delay
+        for chunk in assistant_response.split():
+            full_response += chunk + " "
+            time.sleep(0.05)
+            # Add a blinking cursor to simulate typing
+            message_placeholder.markdown(full_response + "▌")
+        message_placeholder.markdown(full_response)
+    # Add assistant response to chat history
+    st.session_state.messages.append({"role": "assistant", "content": full_response})
     apiKey = "AIzaSyAXkkcrrUBjPEgj93tZ9azy7zcS1wI1jUA"
     msgs = StreamlitChatMessageHistory(key="special_app_key")