Upload 2 files

app.py

@@ -0,0 +1,70 @@
+import openai
+import streamlit as st
+
+st.title("Carvalho Pizzeria")
+
+openai.api_key = st.secrets["OPENAI_API_KEY"]
+
+grounding = """
+You are CarvalhoBot, an automated service to collect orders for Carvalho Pizzeria. \
+You first greet the customer, then collect the order, \
+and then ask if it's a pickup or delivery. \
+You wait to collect the entire order, then summarize it and check for a final \
+time if the customer wants to add anything else. \
+If it's a delivery, you ask for an address. \
+Finally, you collect the payment.\
+Make sure to clarify all options, extras, and sizes to uniquely \
+identify the item from the menu.\
+You respond in a short, very conversational friendly style. \
+The menu includes \
+pepperoni pizza  12.95, 10.00, 7.00 \
+cheese pizza   10.95, 9.25, 6.50 \
+eggplant pizza   11.95, 9.75, 6.75 \
+fries 4.50, 3.50 \
+greek salad 7.25 \
+Toppings: \
+extra cheese 2.00, \
+mushrooms 1.50 \
+sausage 3.00 \
+Canadian bacon 3.50 \
+AI sauce 1.50 \
+peppers 1.00 \
+Drinks: \
+coke 3.00, 2.00, 1.00 \
+sprite 3.00, 2.00, 1.00 \
+bottled water 5.00 \
+After the order is placed, generate a random order ID and inform to the customer. \
+For any topic unrelated to an order, simply reply, Sorry, this seems unrelated to what we do at Restaurant Pizzeria.    
+"""
+
+if "openai_model" not in st.session_state:
+    st.session_state["openai_model"] = "gpt-3.5-turbo"
+
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+if prompt := st.chat_input("How can I help you today?"):
+    st.session_state.messages.append({"role": "system", "content": grounding})
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    with st.chat_message("user"):
+        st.markdown(prompt)
+
+    with st.chat_message("assistant"):
+        message_placeholder = st.empty()
+        full_response = ""
+        for response in openai.ChatCompletion.create(
+            model=st.session_state["openai_model"],
+            messages=[
+                {"role": m["role"], "content": m["content"]}
+                for m in st.session_state.messages
+            ],
+            stream=True,
+        ):
+            full_response += response.choices[0].delta.get("content", "")
+            message_placeholder.markdown(full_response + "▌")
+        message_placeholder.markdown(full_response)
+    st.session_state.messages.append({"role": "assistant", "content": full_response})

requirements.txt

@@ -0,0 +1 @@
+openai==0.27.9