updated with Chat LLM

app.py

@@ -1,19 +1,43 @@
 import streamlit as st
-import pandas as pd
-
-st.write("Here's our first attempt at using data to create a table:")
-st.write(pd.DataFrame({
-    'first column': [1, 2, 3, 4],
-    'second column': [10, 20, 30, 40]
-}))
-
-DATE_COLUMN = 'date/time'
-DATA_URL = ('https://s3-us-west-2.amazonaws.com/'
-         'streamlit-demo-data/uber-raw-data-sep14.csv.gz')
-
-def load_data(nrows):
-    data = pd.read_csv(DATA_URL, nrows=nrows)
-    lowercase = lambda x: str(x).lower()
-    data.rename(lowercase, axis='columns', inplace=True)
-    data[DATE_COLUMN] = pd.to_datetime(data[DATE_COLUMN])
-    return data
+import random
+import time
+
+
+# Streamed response emulator
+def response_generator():
+    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?",
+        ]
+    )
+    for word in response.split():
+        yield word + " "
+        time.sleep(0.05)
+
+
+st.title("My Simple chat LLM")
+
+# Initialize chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Display chat messages from history on app rerun
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+# Accept user input
+if prompt := st.chat_input("What is up?"):
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    # Display user message in chat message container
+    with st.chat_message("user"):
+        st.markdown(prompt)
+
+    # Display assistant response in chat message container
+    with st.chat_message("assistant"):
+        response = st.write_stream(response_generator())
+    # Add assistant response to chat history
+    st.session_state.messages.append({"role": "assistant", "content": response})