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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 urllib.parse import quote
from openai import OpenAI
# ------------------ App Configuration ------------------
st.set_page_config(page_title="Schlaeger Forrestdale TechDocAIA", layout="wide", initial_sidebar_state="collapsed")
st.title("π Schlaeger Forrestdale Document Assistant")
st.caption("Explore City of Armadale construction documents using AI + OCR π§ ")
# ------------------ 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 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
if "pending_prompt" not in st.session_state:
st.session_state.pending_prompt = None
# ------------------ Sidebar ------------------
st.sidebar.header("βΉοΈ Information")
if st.sidebar.button("π§Ή 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.session_state.pending_prompt = None
st.rerun()
show_image = st.sidebar.toggle("π Show Page Image", value=True)
st.sidebar.subheader("π Document Tools")
st.sidebar.markdown("Use the tools below to locate relevant clauses and actions:")
keyword = st.sidebar.text_input("Search by Keyword", placeholder="e.g. defects, WHS, delay")
if st.sidebar.button("π Search Keyword") and keyword:
st.session_state.pending_prompt = f"Find clauses or references related to: {keyword}"
section_options = [
"Select a section...",
"1. Formal Instrument of Contract",
"2. Offer and Acceptance",
"3. Key Personnel",
"4. Contract Pricing",
"5. Specifications",
"6. WHS Policies",
"7. Penalties and Delays",
"8. Dispute Resolution",
"9. Principal Obligations"
]
section_select = st.sidebar.selectbox("π Jump to Section", section_options)
if section_select != section_options[0]:
st.session_state.pending_prompt = f"Summarize or list key points from section: {section_select}"
actions = [
"Select an action...",
"List all contractual obligations",
"Summarize payment terms",
"List WHS responsibilities",
"Find delay-related penalties",
"Extract dispute resolution steps"
]
action_select = st.sidebar.selectbox("βοΈ Common Contract Queries", actions)
if action_select != actions[0]:
st.session_state.pending_prompt = action_select
# ------------------ Layout: Chat + Image ------------------
chat_col, image_col = st.columns([2, 1])
# ------------------ Chat Interface ------------------
with chat_col:
st.markdown("### π§ Ask a Document-Specific Question")
user_prompt = st.chat_input("Example: What is the defects liability period?")
# Use pending prompt from sidebar if no new chat prompt
if user_prompt:
st.session_state.messages.append({"role": "user", "content": user_prompt})
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("π€ Parsing and responding with referenced content..."):
while True:
run_status = client.beta.threads.runs.retrieve(
thread_id=st.session_state.thread_id,
run_id=run.id
)
if run_status.status in ("completed", "failed", "cancelled"):
break
time.sleep(1)
if run_status.status != "completed":
st.error(f"β οΈ Assistant failed: {run_status.status}")
else:
messages = client.beta.threads.messages.list(thread_id=st.session_state.thread_id)
for message in reversed(messages.data):
if message.role == "assistant":
assistant_reply = message.content[0].text.value
st.session_state.messages.append({"role": "assistant", "content": assistant_reply})
# Parse Document Reference and Page, then construct image URL with encoding
match = re.search(r'Document Reference:\s*(.*?),\s*Page\s*(\d+)', assistant_reply)
if match:
doc_name = match.group(1).strip()
page = int(match.group(2))
page_str = f"{page:04d}"
folder = quote(doc_name)
image_url = (
f"https://raw.githubusercontent.com/AndrewLORTech/c2ozschlaegerforrestdale/main/"
f"{folder}/{folder}_page_{page_str}.png"
)
st.session_state.image_url = image_url
st.session_state.image_updated = True
break
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)
# ------------------ Image Display ------------------
with image_col:
if show_image and st.session_state.image_url:
with st.spinner("Loading document preview..."):
try:
response = requests.get(st.session_state.image_url)
response.raise_for_status()
img = Image.open(BytesIO(response.content))
st.image(img, caption="π OCR Page Image", use_container_width=True)
st.session_state.image_updated = False
except Exception as e:
st.error(f"β Failed to load image: {e}")
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