Create app.py

app.py

@@ -0,0 +1,55 @@
+import streamlit as st
+import time
+import uuid
+import requests
+import os
+import json
+
+chat_url = os.environ['CHAT_URL']
+# Streamed response emulator
+def response_generator(user_input):
+    payload = json.dumps({
+      "user_query": user_input,
+      "thread_id": st.session_state.session_id
+    })
+    headers = {
+      'Content-Type': 'application/json'
+    }
+
+    response = requests.request("POST", chat_url, headers=headers, data=payload)
+
+    ai_response = response.json()['ai_response']
+
+    for character in ai_response:
+        yield character
+        time.sleep(0.004)
+
+
+st.title("Bookstore-Assistant")
+
+
+if "session_id" not in st.session_state:
+    st.session_state.session_id = str(uuid.uuid4())
+
+# 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 user_input := st.chat_input("What is up?"):
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": user_input.strip()})
+    # Display user message in chat message container
+    with st.chat_message("user"):
+        st.markdown(user_input)
+
+    # Display assistant response in chat message container
+    with st.chat_message("assistant"):
+        response = st.write_stream(response_generator(user_input.strip()))
+    # Add assistant response to chat history
+    st.session_state.messages.append({"role": "assistant", "content": response})