app.py

import streamlit as st
import os
import time
import re
from openai import OpenAI

# ------------------ App Configuration ------------------
st.set_page_config(page_title="Document AI Assistant", layout="wide")
st.title("📄 Document AI Assistant")
st.caption("Chat with an AI Assistant on your medical/pathology documents")

# ------------------ Load API Key and Assistant ID from Hugging Face Secrets ------------------
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
ASSISTANT_ID = os.environ.get("ASSISTANT_ID")

# ------------------ Error Handling for Missing Secrets ------------------
if not OPENAI_API_KEY or not ASSISTANT_ID:
    st.error("Missing secrets. Please ensure both OPENAI_API_KEY and ASSISTANT_ID are set in your Hugging Face Space secrets.")
    st.stop()

client = OpenAI(api_key=OPENAI_API_KEY)

# ------------------ Session State Initialization ------------------
if "messages" not in st.session_state:
    st.session_state.messages = []
if "thread_id" not in st.session_state:
    st.session_state.thread_id = None
if "image_url" not in st.session_state:
    st.session_state.image_url = None
if "image_updated" not in st.session_state:
    st.session_state.image_updated = False

# ------------------ Sidebar Controls ------------------
st.sidebar.header("🔧 Settings")
if st.sidebar.button("🔄 Clear Chat"):
    st.session_state.messages = []
    st.session_state.thread_id = None
    st.session_state.image_url = None
    st.session_state.image_updated = False
    st.rerun()

show_image = st.sidebar.checkbox("📖 Show Document Image", value=True)

# ------------------ Split Layout ------------------
col1, col2 = st.columns([1, 2])

# ------------------ Image Panel (Left) ------------------
with col1:
    if show_image and st.session_state.image_url:
        st.image(st.session_state.image_url, caption="📑 Extracted Page", use_container_width=True)
        st.session_state.image_updated = False

# ------------------ Chat Panel (Right) ------------------
with col2:
    # Display latest message block separately at the top (if available)
    if st.session_state.messages:
        latest_msg = st.session_state.messages[-1]
        st.chat_message(latest_msg["role"]).write(latest_msg["content"])

    # Show the rest of the chat history (excluding latest)
    for message in st.session_state.messages[:-1]:
        st.chat_message(message["role"]).write(message["content"])

    # ------------------ Chat Input Handling ------------------
    if prompt := st.chat_input("Type your question about the document..."):
        st.session_state.messages.append({"role": "user", "content": prompt})

        try:
            # Create thread if it doesn't exist
            if st.session_state.thread_id is None:
                thread = client.beta.threads.create()
                st.session_state.thread_id = thread.id

            thread_id = st.session_state.thread_id

            # Send prompt
            client.beta.threads.messages.create(
                thread_id=thread_id,
                role="user",
                content=prompt
            )

            # Trigger run
            run = client.beta.threads.runs.create(
                thread_id=thread_id,
                assistant_id=ASSISTANT_ID
            )

            # Wait for completion
            with st.spinner("Assistant is thinking..."):
                while True:
                    run_status = client.beta.threads.runs.retrieve(
                        thread_id=thread_id,
                        run_id=run.id
                    )
                    if run_status.status == "completed":
                        break
                    time.sleep(1)

            # Get assistant response
            messages = client.beta.threads.messages.list(thread_id=thread_id)
            assistant_message = None
            for message in reversed(messages.data):
                if message.role == "assistant":
                    assistant_message = message.content[0].text.value
                    break

            st.session_state.messages.append({"role": "assistant", "content": assistant_message})

            # Handle image from response if exists
            image_match = re.search(
                r'https://raw\.githubusercontent\.com/AndrewLORTech/surgical-pathology-manual/main/[\w\-/]*\.png',
                assistant_message
            )
            if image_match:
                st.session_state.image_url = image_match.group(0)
                st.session_state.image_updated = True

            st.rerun()

        except Exception as e:
            st.error(f"❌ Error: {str(e)}")