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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("π 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("β Incorrect email or password.")
if not st.session_state.get("authenticated", False):
login()
st.stop()
# ------------------ App Title ------------------
st.title("𧬠AI Pathology Assistant")
# ------------------ Load OpenAI ------------------
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
if not OPENAI_API_KEY:
st.error("β 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(["π¬ Chat Assistant", "πΌοΈ Visual Reference Search"])
# ------------------ Tab 1: Chat Assistant ------------------
with tab1:
with st.sidebar:
st.header("π§ Tools")
if st.button("π§Ή 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("πͺ Logout"):
st.session_state.clear()
st.rerun()
show_image = st.toggle("πΈ Show Images", value=True)
keyword = st.text_input("Keyword Search", placeholder="e.g. mitosis, carcinoma")
if st.button("π 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("π Lookup") and section:
st.session_state.pending_prompt = f"Summarize or list key points from section: {section}"
action = st.selectbox("π 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("### π¬ 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("π¬ 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("β Assistant failed to respond.")
st.rerun()
except Exception as e:
st.error(f"β 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="π Referenced Image", use_container_width=True)
except Exception as e:
st.error(f"πΌοΈ 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("### π 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("𧬠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
# β
Reliable parser for markdown blocks
blocks = response_text.split("### πΌοΈ")[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"β Assistant Error: {e}")
# πΌοΈ Display images in vertical stack
if st.session_state.image_results:
st.markdown("### πΌοΈ 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("π View", key=f"img_{idx}"):
st.session_state.image_lightbox = item["url"]
# π¬ Full image lightbox
if st.session_state.image_lightbox:
st.markdown("### π¬ 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"β οΈ Could not load full image: {e}")
if st.button("β Close Image View"):
st.session_state.image_lightbox = None
st.rerun()
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