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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]) # Adjust ratio as needed
# ------------------ 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 # Reset flag after rendering
# ------------------ Chat Panel (Right) ------------------
with col2:
for message in st.session_state.messages:
role, content = message["role"], message["content"]
st.chat_message(role).write(content)
if prompt := st.chat_input("Type your question about the document..."):
st.session_state.messages.append({"role": "user", "content": prompt})
st.chat_message("user").write(prompt)
try:
# Initialize thread if needed
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 message to assistant
client.beta.threads.messages.create(
thread_id=thread_id,
role="user",
content=prompt
)
# Run assistant
run = client.beta.threads.runs.create(
thread_id=thread_id,
assistant_id=ASSISTANT_ID
)
# Wait for assistant response
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.chat_message("assistant").write(assistant_message)
st.session_state.messages.append({"role": "assistant", "content": assistant_message})
# Extract GitHub image from response if available
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() # Trigger rerun to refresh image display
except Exception as e:
st.error(f"❌ Error: {str(e)}")
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