app.py

from openai import OpenAI
import streamlit as st
from src.utils import image_path_to_uri

st.title("ChatGPT-like clone")

client = OpenAI(api_key=st.secrets["OPENAI_API_KEY"])
image = st.file_uploader("Upload an image", type=["png", "jpg", "jpeg"])

if "openai_model" not in st.session_state:
    st.session_state["openai_model"] = "gpt-4o"

if "messages" not in st.session_state:
    st.session_state.messages = []

if "image" not in st.session_state:
    st.session_state.image = None

for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        for content in message["content"]:
            if content["type"] == "text":
                st.markdown(content["text"])
            elif content["type"] == "image_url":
                st.image(content["image_url"]["url"])

if prompt := st.chat_input("What is up?"):
    # Add image to the message if it exists
    if image is not None:
        st.session_state.image = image
    if st.session_state.image:
        image_url = image_path_to_uri(st.session_state.image)
        st.session_state.messages.append({"role": "user", "content": [
            {"type": "text", "text": prompt},
            {"type": "image_url", "image_url": {"url": image_url}}
        ]})
    else:
        st.session_state.messages.append({"role": "user", "content": [
            {"type": "text", "text": prompt}
        ]})

    with st.chat_message("user"):
        if st.session_state.image:
            st.image(st.session_state.image)
        st.markdown(prompt)

    with st.chat_message("assistant"):
        stream = client.chat.completions.create(
            model=st.session_state["openai_model"],
            messages=[
                {"role": m["role"], "content": m["content"]}
                for m in st.session_state.messages
            ],
            stream=True,
        )
        response = st.write_stream(stream)
    st.session_state.messages.append({"role": "assistant", "content": [
        {"type": "text", "text": response}
    ]})