app.py

import openai
import streamlit as st
from PIL import Image

st.title("Student Cleaning Service")

# 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-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("Ask me anything about our cleaning services!"):    
    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})