| import openai |
| import streamlit as st |
| from PIL import Image |
|
|
| st.title("IceBot - Goggin Public Skates") |
|
|
| |
| 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-5-mini" |
|
|
| 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": "user", "content": prompt}) |
| with st.chat_message("user"): |
| st.markdown(prompt) |
|
|
| with st.chat_message("assistant"): |
| message_placeholder = st.empty() |
| full_response = "" |
| |
| response = openai.responses.create( |
| model=st.session_state["openai_model"], |
| instructions = grounding, |
| input=[ |
| {"role": m["role"], "content": m["content"]} |
| for m in st.session_state.messages |
| ], |
| stream=True, |
| ) |
| |
| for event in response: |
| if event.type == 'response.output_text.delta': |
| full_response += event.delta.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}) |
