import openai import streamlit as st from PIL import Image st.title("Carvalho Pizzeria") # Streamlit Secrets openai.api_key = st.secrets["OPENAI_API_KEY"] grounding = st.secrets["GROUNDING"] image = Image.open('logo.png') st.image(image) 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('\\$','$').replace('$','\\$') message_placeholder.markdown(full_response + "▌") message_placeholder.markdown(full_response) print(full_response) st.session_state.messages.append({"role": "assistant", "content": full_response})