app.py

import streamlit as st
import os
import time
import re
import requests
import json
from PIL import Image
from io import BytesIO
from openai import OpenAI

# ------------------ Authentication ------------------
VALID_USERS = {
    "[email protected]": "Pass.123",
    "[email protected]": "Pass.123",
    "[email protected]": "Pass.123",
    "[email protected]": "Pass.123",
}

def login():
    st.title("🔐 Login Required")
    email = st.text_input("Email")
    password = st.text_input("Password", type="password")
    if st.button("Login"):
        if VALID_USERS.get(email) == password:
            st.session_state.authenticated = True
            st.rerun()
        else:
            st.error("❌ Incorrect email or password.")

if "authenticated" not in st.session_state:
    st.session_state.authenticated = False

if not st.session_state.authenticated:
    login()
    st.stop()

# ------------------ App Config ------------------
st.set_page_config(page_title="AI Pathology Assistant", layout="wide", initial_sidebar_state="collapsed")
st.title("🧬 AI Pathology Assistant")

# ------------------ Load OpenAI ------------------
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
if not OPENAI_API_KEY:
    st.error("❌ Missing OPENAI_API_KEY environment variable.")
    st.stop()

client = OpenAI(api_key=OPENAI_API_KEY)

# ------------------ Assistant Setup ------------------
ASSISTANT_ID = "asst_9v09zgizdcuuhNdcFQpRo9RO"

# ------------------ State ------------------
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_urls" not in st.session_state:
    st.session_state.image_urls = []
if "pending_prompt" not in st.session_state:
    st.session_state.pending_prompt = None

# ------------------ Tabs ------------------
tab1, tab2 = st.tabs(["💬 Chat Assistant", "🖼️ Visual Reference Search"])

# ------------------ Tab 1: Chat Assistant ------------------
with tab1:
    with st.sidebar:
        st.header("🧪 Pathology Tools")
        if st.button("🧹 Clear Chat"):
            st.session_state.messages = []
            st.session_state.thread_id = None
            st.session_state.image_urls = []
            st.session_state.pending_prompt = None
            st.rerun()

        show_image = st.toggle("📸 Show Images", value=True)
        keyword = st.text_input("Keyword Search", placeholder="e.g. mitosis, carcinoma")
        if st.button("🔎 Search") and keyword:
            st.session_state.pending_prompt = f"Find clauses or references related to: {keyword}"

        section = st.text_input("Section Lookup", placeholder="e.g. Connective Tissue")
        if section:
            st.session_state.pending_prompt = f"Summarize or list key points from section: {section}"

        actions = [
            "Select an action...",
            "List histological features of inflammation",
            "Summarize features of carcinoma",
            "List muscle types and features",
            "Extract diagnostic markers",
            "Summarize embryology stages"
        ]
        action = st.selectbox("Common Pathology Queries", actions)
        if action != actions[0]:
            st.session_state.pending_prompt = action

    chat_col, image_col = st.columns([2, 1])

    with chat_col:
        st.markdown("### 💬 Ask a Pathology-Specific Question")
        user_input = st.chat_input("Example: What are features of squamous cell carcinoma?")
        if user_input:
            st.session_state.messages.append({"role": "user", "content": user_input})
        elif st.session_state.pending_prompt:
            st.session_state.messages.append({"role": "user", "content": st.session_state.pending_prompt})
            st.session_state.pending_prompt = None

        if st.session_state.messages and st.session_state.messages[-1]["role"] == "user":
            try:
                if st.session_state.thread_id is None:
                    thread = client.beta.threads.create()
                    st.session_state.thread_id = thread.id

                client.beta.threads.messages.create(
                    thread_id=st.session_state.thread_id,
                    role="user",
                    content=st.session_state.messages[-1]["content"]
                )

                run = client.beta.threads.runs.create(
                    thread_id=st.session_state.thread_id,
                    assistant_id=ASSISTANT_ID
                )

                with st.spinner("🔬 Analyzing..."):
                    while True:
                        status = client.beta.threads.runs.retrieve(thread_id=st.session_state.thread_id, run_id=run.id)
                        if status.status in ("completed", "failed", "cancelled"):
                            break
                        time.sleep(1)

                if status.status == "completed":
                    messages = client.beta.threads.messages.list(thread_id=st.session_state.thread_id)
                    for m in reversed(messages.data):
                        if m.role == "assistant":
                            reply = m.content[0].text.value
                            st.session_state.messages.append({"role": "assistant", "content": reply})
                            image_matches = re.findall(
                                r'https://raw\.githubusercontent\.com/AndrewLORTech/witspathologai/main/[^\s\n"]+\.png',
                                reply
                            )
                            st.session_state.image_urls = image_matches
                            break
                else:
                    st.error("❌ Assistant failed to respond.")
                st.rerun()
            except Exception as e:
                st.error(f"❌ Error: {e}")

        for msg in st.session_state.messages:
            with st.chat_message(msg["role"]):
                st.markdown(msg["content"], unsafe_allow_html=True)

    with image_col:
        if show_image and st.session_state.image_urls:
            st.markdown("### 🖼️ Image(s)")
            for raw_url in st.session_state.image_urls:
                try:
                    r = requests.get(raw_url, timeout=5)
                    r.raise_for_status()
                    img = Image.open(BytesIO(r.content))
                    st.image(img, caption=f"📷 {raw_url.split('/')[-1]}", use_container_width=True)
                except Exception:
                    continue
                    
from urllib.parse import quote  # ✅ Make sure this is at the top of your file

# ------------------ Tab 2: Visual Reference Search ------------------
with tab2:
    st.title("🔍 Visual Reference Search")
    user_query = st.text_input("Enter keyword to search images (e.g. ovary, thyroid, mitosis)")

    if "image_thread_id" not in st.session_state:
        st.session_state.image_thread_id = None
    if "image_response" not in st.session_state:
        st.session_state.image_response = None

    if st.button("Ask Assistant") and user_query:
        try:
            if st.session_state.image_thread_id is None:
                thread = client.beta.threads.create()
                st.session_state.image_thread_id = thread.id

            client.beta.threads.messages.create(
                thread_id=st.session_state.image_thread_id,
                role="user",
                content=user_query
            )

            run = client.beta.threads.runs.create(
                thread_id=st.session_state.image_thread_id,
                assistant_id="asst_9v09zgizdcuuhNdcFQpRo9RO"
            )

            with st.spinner("🔬 Searching for visual references..."):
                while True:
                    run_status = client.beta.threads.runs.retrieve(
                        thread_id=st.session_state.image_thread_id,
                        run_id=run.id
                    )
                    if run_status.status in ("completed", "failed", "cancelled"):
                        break
                    time.sleep(1)

            if run_status.status == "completed":
                messages = client.beta.threads.messages.list(thread_id=st.session_state.image_thread_id)
                for m in reversed(messages.data):
                    if m.role == "assistant":
                        st.session_state.image_response = m.content[0].text.value
                        break
            else:
                st.error("❌ Assistant failed to return an image match.")
        except Exception as e:
            st.error(f"Error: {e}")

    # Render assistant response + build GitHub image URLs from filenames
    if st.session_state.image_response:
        st.markdown("### 🧠 Assistant Response")
        st.markdown(st.session_state.image_response, unsafe_allow_html=True)

        # Extract image filenames from assistant response
        filename_matches = re.findall(r'Image Filename:\s*(.*?\.png)', st.session_state.image_response)

        for fname in filename_matches:
            # Extract folder from filename prefix before _page_
            match = re.match(r'^(.+?)_page_', fname)
            if match:
                folder = match.group(1).strip()
            else:
                st.warning(f"⚠️ Could not determine folder for: {fname}")
                continue

            # ✅ Use URL-safe encoding for both folder and filename
            encoded_folder = quote(folder)
            encoded_fname = quote(fname)

            url = f"https://raw.githubusercontent.com/AndrewLORTech/witspathologaihisto/main/{encoded_folder}/{encoded_fname}"

            st.markdown(f"🔗 [View image directly]({url})")

            try:
                r = requests.get(url, timeout=5)
                r.raise_for_status()
                img = Image.open(BytesIO(r.content))
                st.image(img, caption=fname, use_container_width=True)
            except Exception as e:
                st.warning(f"⚠️ Failed to load: {url}")
                st.error(f"🛑 Error: {str(e)}")