Add application file

app.py

@@ -0,0 +1,85 @@
+# import openai
+import time
+import random
+import streamlit as st
+from streamlit_chat import message
+import os
+
+from utils import set_main_page, message_border
+
+st.set_page_config(
+    page_title="streamlit-demo",
+    page_icon="🧊",
+    layout="wide",
+    initial_sidebar_state="expanded",
+    menu_items={
+        'Get Help': 'https://github.com/vickyli777',
+        'Report a bug': "https://github.com/vickyli777",
+        'About': "## a simple demo!"
+    }
+)
+
+set_main_page()
+st.sidebar.divider()
+
+def clear_chat():
+    """
+    """
+    st.session_state.messages =[]
+
+
+st.sidebar.button("clear all chats", on_click=clear_chat, type="primary")
+st.sidebar.caption("clear histories and start a new chat")
+
+#storing the chat
+if 'messages' not in st.session_state:
+    st.session_state['messages'] = []
+# Display chat messages from history on app rerun
+for msg in st.session_state.messages:
+    with st.chat_message(msg["role"]):
+        chat_box = message_border(mes["role"],msg["content"])
+        st.markdown(chat_box,unsafe_allow_html=True)
+
+# React to user input
+if question := st.chat_input("your AI assistant is here, ask me something"):
+    # Display user message in chat message container 
+    with st.chat_message(name="user"):
+ 
+        cur_border = message_border("user",question)
+        st.markdown(cur_border,unsafe_allow_html=True) #paragraph 
+        
+        # st.markdown(prompt)
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": question})
+
+    # response = f"Echo: {prompt}"
+    # Display assistant response in chat message container
+    with st.chat_message(name="assistant"):
+        message_placeholder = st.empty()
+        full_response = ""
+        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 response.split():
+            full_response += chunk + " "
+            # ans_border = message_border(full_response+ "▌")
+            time.sleep(0.5)
+            # Add a blinking cursor to simulate typing
+            # message_placeholder.markdown("""  
+            #     <p style="border: 1px solid red; 
+            #     padding: 5px;
+            #     border-radius: 5px">
+            #     {}
+            #     </p>  
+            #     """.format(full_response +"▌"))
+            ans_border = message_border("assistant",full_response)
+            message_placeholder.markdown(ans_border, unsafe_allow_html=True)
+        # message_placeholder.markdown(ans_border, unsafe_allow_html=True)
+        # st.markdown(f':blue[{response}]')
+    # Add assistant response to chat history
+    st.session_state.messages.append({"role": "assistant", "content": response})