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import openai | |
import streamlit as st | |
st.title("Carvalho Pizzeria") | |
openai.api_key = st.secrets["OPENAI_API_KEY"] | |
grounding = st.secrets["GROUNDING"] | |
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 = [] | |
st.session_state.messages.append({"role": "system", "content": grounding}) | |
for message in st.session_state.messages: | |
if message["role"] != "system": | |
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": "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", "").replace('$','\\$') | |
message_placeholder.markdown(full_response + "▌") | |
message_placeholder.markdown(full_response) | |
print(full_response) | |
st.session_state.messages.append({"role": "assistant", "content": full_response}) |