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| import streamlit as st | |
| st.set_page_config(page_title="AI Pathology Assistant", layout="wide", initial_sidebar_state="collapsed") | |
| import os | |
| import time | |
| import re | |
| import requests | |
| 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", | |
| "[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.experimental_set_query_params(logged_in="1") | |
| st.rerun() | |
| else: | |
| st.error("❌ Incorrect email or password.") | |
| if not st.session_state.get("authenticated", False): | |
| login() | |
| st.stop() | |
| # ------------------ App Title ------------------ | |
| 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_jXDSjCG8LI4HEaFEcjFVq8KB" | |
| # ------------------ Session State Initialization ------------------ | |
| for key in ["messages", "thread_id", "image_urls", "pending_prompt", "image_url", "image_updated"]: | |
| if key not in st.session_state: | |
| st.session_state[key] = [] if key.endswith("s") else None if "url" in key else False | |
| # ------------------ Tabs ------------------ | |
| tab1, tab2 = st.tabs(["💬 Chat Assistant", "🖼️ Visual Reference Search"]) | |
| # ------------------ Tab 1: Chat Assistant ------------------ | |
| with tab1: | |
| with st.sidebar: | |
| st.header("🔧 Tools") | |
| if st.button("🧹 Clear Chat"): | |
| for key in ["messages", "thread_id", "image_url", "image_updated", "pending_prompt"]: | |
| st.session_state[key] = [] if key == "messages" else None if "url" in key else False | |
| st.rerun() | |
| if st.button("🚪 Logout"): | |
| st.session_state.clear() | |
| 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 st.button("📑 Lookup") and section: | |
| st.session_state.pending_prompt = f"Summarize or list key points from section: {section}" | |
| action = st.selectbox("📂 Common Pathology Queries", [ | |
| "Select an action...", | |
| "List histological features of inflammation", | |
| "Summarize features of carcinoma", | |
| "List muscle types and features", | |
| "Extract diagnostic markers", | |
| "Summarize embryology stages" | |
| ]) | |
| if action and action != "Select an action...": | |
| st.session_state.pending_prompt = action | |
| st.rerun() | |
| 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 or st.session_state.pending_prompt: | |
| st.session_state.messages.append({ | |
| "role": "user", | |
| "content": user_input or 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 not st.session_state.thread_id: | |
| st.session_state.thread_id = client.beta.threads.create().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.strip() | |
| if not any(reply in msg["content"] or msg["content"] in reply for msg in st.session_state.messages if msg["role"] == "assistant"): | |
| 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) | |
| if image_matches: | |
| st.session_state.image_url = image_matches[0] | |
| st.session_state.image_updated = True | |
| 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_url: | |
| try: | |
| r = requests.get(st.session_state.image_url) | |
| r.raise_for_status() | |
| img = Image.open(BytesIO(r.content)) | |
| st.image(img, caption="📄 Referenced Image", use_container_width=True) | |
| except Exception as e: | |
| st.error(f"🖼️ Failed to load image: {e}") | |
| # ------------------ Tab 2: Visual Reference Search ------------------ | |
| with tab2: | |
| ASSISTANT_ID = "asst_9v09zgizdcuuhNdcFQpRo9RO" | |
| for key in ["image_thread_id", "image_response", "image_results", "image_lightbox"]: | |
| if key not in st.session_state: | |
| st.session_state[key] = None if key in ["image_thread_id", "image_response", "image_lightbox"] else [] | |
| st.markdown("### 🔍 Search Histology Visual References") | |
| image_input = st.chat_input("e.g. mitosis, seminiferous tubule, cell cycle") | |
| if image_input: | |
| st.session_state.image_response = None | |
| st.session_state.image_results = [] | |
| st.session_state.image_lightbox = None | |
| try: | |
| if not st.session_state.image_thread_id: | |
| st.session_state.image_thread_id = client.beta.threads.create().id | |
| client.beta.threads.messages.create( | |
| thread_id=st.session_state.image_thread_id, | |
| role="user", | |
| content=image_input | |
| ) | |
| run = client.beta.threads.runs.create( | |
| thread_id=st.session_state.image_thread_id, | |
| assistant_id=ASSISTANT_ID | |
| ) | |
| with st.spinner("🧬 Retrieving histology references..."): | |
| while True: | |
| status = client.beta.threads.runs.retrieve( | |
| thread_id=st.session_state.image_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.image_thread_id) | |
| for msg in reversed(messages.data): | |
| if msg.role == "assistant": | |
| response_text = msg.content[0].text.value.strip() | |
| st.session_state.image_response = response_text | |
| # ✅ Reliable parser for markdown blocks | |
| blocks = response_text.split("### 🖼️")[1:] | |
| results = [] | |
| for b in blocks: | |
| lines = b.strip().splitlines() | |
| card = { | |
| "title": lines[0].strip() if lines else "Untitled", | |
| "desc": "", | |
| "url": "" | |
| } | |
| for line in lines: | |
| if "Description:" in line: | |
| card["desc"] = line.split("Description:")[1].strip() | |
| elif "Image URL:" in line: | |
| card["url"] = line.split("Image URL:")[1].strip() | |
| elif line.startswith("http") and not card["url"]: | |
| card["url"] = line.strip() | |
| if card["url"]: | |
| results.append(card) | |
| st.session_state.image_results = results | |
| break | |
| except Exception as e: | |
| st.error(f"❌ Assistant Error: {e}") | |
| # 🖼️ Display images in vertical stack | |
| if st.session_state.image_results: | |
| st.markdown("### 🖼️ Image Results") | |
| for idx, item in enumerate(st.session_state.image_results): | |
| try: | |
| img = Image.open(BytesIO(requests.get(item["url"], timeout=10).content)) | |
| st.image(img, use_container_width=True) | |
| except: | |
| st.image("https://via.placeholder.com/150?text=Image+Error", use_container_width=True) | |
| st.markdown(f"**{item.get('title', 'No Title')}**", unsafe_allow_html=True) | |
| st.caption(item.get("desc", "")[:200] + "..." if item.get("desc") else "") | |
| if st.button("🔍 View", key=f"img_{idx}"): | |
| st.session_state.image_lightbox = item["url"] | |
| # 🔬 Full image lightbox | |
| if st.session_state.image_lightbox: | |
| st.markdown("### 🔬 Full Image View") | |
| try: | |
| full_img = Image.open(BytesIO(requests.get(st.session_state.image_lightbox).content)) | |
| st.image(full_img, use_container_width=True) | |
| except Exception as e: | |
| st.error(f"⚠️ Could not load full image: {e}") | |
| if st.button("❌ Close Image View"): | |
| st.session_state.image_lightbox = None | |
| st.rerun() | |