import streamlit as st import os import time import json import re from openai import OpenAI # Basic config st.set_page_config(page_title="Forrestdale Drawing Viewer", layout="wide") st.title("📐 Forrestdale Technical Drawing Assistant") OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY") ASSISTANT_ID = "asst_DjvuWBc7tCvMbAhY7n1em4BZ" if not OPENAI_API_KEY: st.error("❌ Missing OPENAI_API_KEY.") st.stop() client = OpenAI(api_key=OPENAI_API_KEY) if "tech_thread_id" not in st.session_state: thread = client.beta.threads.create() st.session_state.tech_thread_id = thread.id if "tech_messages" not in st.session_state: st.session_state.tech_messages = [] prompt = st.chat_input("Ask about plans, drawings or components (e.g. Show me all electrical plans)") if prompt: st.session_state.tech_messages.append({"role": "user", "content": prompt}) for msg in st.session_state.tech_messages: with st.chat_message(msg["role"]): st.markdown(msg["content"]) # Fetch assistant reply if st.session_state.tech_messages and st.session_state.tech_messages[-1]["role"] == "user": with st.spinner("⏳ Fetching results from assistant..."): try: client.beta.threads.messages.create( thread_id=st.session_state.tech_thread_id, role="user", content=st.session_state.tech_messages[-1]["content"] ) run = client.beta.threads.runs.create( thread_id=st.session_state.tech_thread_id, assistant_id=ASSISTANT_ID ) while True: run_status = client.beta.threads.runs.retrieve( thread_id=st.session_state.tech_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("⚠️ Assistant run failed.") else: messages = client.beta.threads.messages.list(thread_id=st.session_state.tech_thread_id) for message in reversed(messages.data): if message.role == "assistant": reply_content = message.content[0].text.value.strip() st.session_state.tech_messages.append({"role": "assistant", "content": reply_content}) try: match = re.search(r"```json\s*(.*?)```", reply_content, re.DOTALL) json_str = match.group(1) if match else reply_content results = json.loads(json_str) if isinstance(results, list): cols = st.columns(4) for idx, item in enumerate(results): with cols[idx % 4]: with st.container(border=True): st.markdown(f"### 📁 {item.get('drawing_number')} ({item.get('discipline')})", help=item.get("summary")) st.caption(item.get("summary")) with st.expander("📂 View Drawing Details"): if item.get("question"): st.markdown(f"**Question Match:** {item.get('question')}") if item.get("image"): st.image(item.get("image"), caption=item.get("drawing_number")) elif item.get("images"): for i, img in enumerate(item["images"]): if img.startswith("http"): st.image(img, caption=f"{item['drawing_number']} – Page {i+1}") except Exception as parse_error: st.warning("🟡 Could not parse assistant response as JSON.") break except Exception as e: st.error(f"❌ Error occurred: {e}")