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Update app.py
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app.py
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import
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import os
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import
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import re
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import requests
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from PIL import Image
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from io import BytesIO
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from urllib.parse import quote
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from openai import OpenAI
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#
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st.set_page_config(page_title="Schlaeger Forrestdale DocAIA", layout="wide", initial_sidebar_state="collapsed")
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st.title("π Schlaeger Forrestdale Document Assistant")
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st.caption("Explore City of Armadale construction documents using AI + OCR π§ ")
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# ------------------ Load API Key and Assistant ID ------------------
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OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
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ASSISTANT_ID = os.environ.get("ASSISTANT_ID")
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if not OPENAI_API_KEY or not ASSISTANT_ID:
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st.error("β Missing secrets. Please set both OPENAI_API_KEY and ASSISTANT_ID in Hugging Face Space secrets.")
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st.stop()
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client = OpenAI(api_key=OPENAI_API_KEY)
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#
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st.session_state.pending_prompt = None
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st.rerun()
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show_image = st.sidebar.toggle("π Show Page Image", value=True)
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st.sidebar.subheader("π Document Tools")
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st.sidebar.markdown("Use the tools below to locate relevant clauses and actions:")
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keyword = st.sidebar.text_input("Search by Keyword", placeholder="e.g. defects, WHS, delay")
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if st.sidebar.button("π Search Keyword") and keyword:
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st.session_state.pending_prompt = f"Find clauses or references related to: {keyword}"
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section_options = [
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"Select a section...",
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"1. Formal Instrument of Contract",
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"2. Offer and Acceptance",
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"3. Key Personnel",
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"4. Contract Pricing",
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"5. Specifications",
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"6. WHS Policies",
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"7. Penalties and Delays",
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"8. Dispute Resolution",
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"9. Principal Obligations"
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]
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section_select = st.sidebar.selectbox("π Jump to Section", section_options)
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if section_select != section_options[0]:
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st.session_state.pending_prompt = f"Summarize or list key points from section: {section_select}"
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actions = [
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"Select an action...",
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"List all contractual obligations",
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"Summarize payment terms",
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"List WHS responsibilities",
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"Find delay-related penalties",
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"Extract dispute resolution steps"
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]
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action_select = st.sidebar.selectbox("βοΈ Common Contract Queries", actions)
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if action_select != actions[0]:
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st.session_state.pending_prompt = action_select
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# ------------------ Layout: Chat + Image ------------------
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chat_col, image_col = st.columns([2, 1])
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# ------------------ Chat Interface ------------------
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with chat_col:
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st.markdown("### π§ Ask a Document-Specific Question")
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user_prompt = st.chat_input("Example: What is the defects liability period?")
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# Use pending prompt from sidebar if no new chat prompt
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if user_prompt:
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st.session_state.messages.append({"role": "user", "content": user_prompt})
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elif st.session_state.pending_prompt:
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st.session_state.messages.append({"role": "user", "content": st.session_state.pending_prompt})
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st.session_state.pending_prompt = None
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if st.session_state.messages and st.session_state.messages[-1]["role"] == "user":
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try:
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if st.session_state.thread_id is None:
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thread = client.beta.threads.create()
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st.session_state.thread_id = thread.id
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client.beta.threads.messages.create(
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thread_id=st.session_state.thread_id,
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role="user",
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content=st.session_state.messages[-1]["content"]
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)
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)
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if run_status.status in ("completed", "failed", "cancelled"):
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break
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time.sleep(1)
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assistant_reply = message.content[0].text.value
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st.session_state.messages.append({"role": "assistant", "content": assistant_reply})
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doc_name = match.group(1).strip()
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page = int(match.group(2))
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page_str = f"{page:04d}"
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folder = quote(doc_name)
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image_url = (
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f"https://raw.githubusercontent.com/AndrewLORTech/c2ozschlaegerforrestdale/main/"
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f"{folder}/{folder}_page_{page_str}.png"
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)
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st.session_state.image_url = image_url
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st.session_state.image_updated = True
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break
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st.error(f"β Error: {e}")
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with st.chat_message(msg["role"]):
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st.markdown(msg["content"], unsafe_allow_html=True)
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#
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with st.spinner("Loading document preview..."):
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try:
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response = requests.get(st.session_state.image_url)
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response.raise_for_status()
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img = Image.open(BytesIO(response.content))
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st.image(img, caption="π OCR Page Image", use_container_width=True)
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st.session_state.image_updated = False
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except Exception as e:
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st.error(f"β Failed to load image: {e}")
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import gradio as gr
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import os
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import json
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from openai import OpenAI
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# ========== Config ==========
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OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
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ASSISTANT_ID = os.environ.get("ASSISTANT_ID")
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client = OpenAI(api_key=OPENAI_API_KEY)
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# ========== Functions ==========
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def query_assistant(message):
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try:
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thread = client.beta.threads.create()
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client.beta.threads.messages.create(
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thread_id=thread.id,
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role="user",
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content=message
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)
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run = client.beta.threads.runs.create(
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thread_id=thread.id,
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assistant_id=ASSISTANT_ID
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)
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# Poll run status
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while True:
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run_status = client.beta.threads.runs.retrieve(
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thread_id=thread.id,
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run_id=run.id
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)
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if run_status.status in ("completed", "failed", "cancelled"):
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break
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if run_status.status != "completed":
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return f"β Assistant failed: {run_status.status}", []
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messages = client.beta.threads.messages.list(thread_id=thread.id)
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for m in reversed(messages.data):
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if m.role == "assistant":
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try:
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parsed = json.loads(m.content[0].text.value)
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return None, parsed.get("results", [])
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except Exception as e:
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return f"β οΈ Failed to parse assistant response: {e}", []
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return "β οΈ No assistant response found", []
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except Exception as e:
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return f"β Error: {e}", []
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def render_cards(results):
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cards = []
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for r in results:
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title = r.get("drawing_title", "Untitled")
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summary = r.get("summary", "")
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pages = r.get("pages", [])
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image_elems = []
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for page in pages:
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url = page.get("public_image_url")
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label = f"{title} β Page {page.get('page_number')}"
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if url:
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image_elems.append(gr.Image(value=url, label=label, show_label=True))
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with gr.Column(scale=1):
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cards.append(
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gr.Group(
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[
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gr.Markdown(f"**{title}**\n\n**Summary:** {summary}"),
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gr.Accordion("π View Drawing Pages", open=False, children=image_elems)
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]
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)
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)
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return cards
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def on_query_submit(prompt):
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status, results = query_assistant(prompt)
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if status:
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return status, []
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return "β
Found matching drawings", render_cards(results)
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# ========== Interface ==========
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with gr.Blocks(theme=gr.themes.Base(), title="Forrestdale Technical Drawing Assistant") as app:
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gr.Markdown("""
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# ποΈ Forrestdale Technical Drawing Assistant
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Ask about plans, drawings or components (e.g. _Show me all electrical plans_)
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""")
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with gr.Row():
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query_input = gr.Textbox(placeholder="e.g. Show me all civil drainage plans", scale=5)
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query_button = gr.Button("π Search", scale=1)
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status_output = gr.Markdown("", visible=True)
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result_display = gr.Column()
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query_button.click(fn=on_query_submit, inputs=query_input, outputs=[status_output, result_display])
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# ========== Launch ==========
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if __name__ == "__main__":
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app.launch()
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