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import streamlit as st
import os
import time
import re
import requests
from PIL import Image
from io import BytesIO
from openai import OpenAI
# ------------------ App Configuration ------------------
st.set_page_config(page_title="Document AI Assistant", layout="wide")
st.title("π Document AI Assistant")
st.caption("Chat with an AI Assistant on your medical/pathology or construction documents")
# ------------------ Load API Key and Assistant ID ------------------
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
ASSISTANT_ID = os.environ.get("ASSISTANT_ID")
if not OPENAI_API_KEY or not ASSISTANT_ID:
st.error("β Missing secrets. Please set both OPENAI_API_KEY and ASSISTANT_ID 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("π§ Settings")
if st.sidebar.button("π 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("π Show Document Image", value=True)
# ------------------ Layout: Image + Chat ------------------
col1, col2 = st.columns([1, 2])
# ------------------ Left Panel: Image ------------------
with col1:
if show_image and st.session_state.image_url:
try:
response = requests.get(st.session_state.image_url)
response.raise_for_status()
img = Image.open(BytesIO(response.content))
st.image(img, caption="π Extracted Page", use_container_width=True)
st.session_state.image_updated = False
except Exception as e:
st.warning(f"β οΈ Failed to load image from URL:\n{st.session_state.image_url}\n\nError: {e}")
# ------------------ Right Panel: Chat ------------------
with col2:
prompt = st.chat_input("Type your question about the document...")
# Display chat history
paired_messages = []
buffer = []
for msg in st.session_state.messages:
buffer.append(msg)
if msg["role"] == "assistant" and len(buffer) == 2:
paired_messages.append(buffer.copy())
buffer.clear()
if buffer:
paired_messages.append(buffer.copy())
for pair in reversed(paired_messages):
for msg in pair:
with st.chat_message(msg["role"]):
st.write(msg["content"])
if prompt:
st.session_state.messages.append({"role": "user", "content": prompt})
try:
# Create thread
if st.session_state.thread_id is None:
thread = client.beta.threads.create()
st.session_state.thread_id = thread.id
# Send user prompt
client.beta.threads.messages.create(
thread_id=st.session_state.thread_id,
role="user",
content=prompt
)
# Run assistant
run = client.beta.threads.runs.create(
thread_id=st.session_state.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=st.session_state.thread_id,
run_id=run.id
)
if run_status.status == "completed":
break
time.sleep(1)
# Get assistant reply
messages = client.beta.threads.messages.list(thread_id=st.session_state.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})
# β
Extract GitHub raw image URL
image_match = re.search(
r'https://raw\.githubusercontent\.com/AndrewLORTech/[a-zA-Z0-9_\-/]+\.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"β Error: {str(e)}")
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