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| import os | |
| import json | |
| import time | |
| import requests | |
| import streamlit as st | |
| from openai import OpenAI | |
| # -------------------- CONFIG -------------------- | |
| OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY") | |
| ASSISTANT_ID = os.environ.get("ASSISTANT_ID") | |
| st.set_page_config(page_title="Forrestdale Technical Drawing Assistant", layout="wide") | |
| st.title("🧱 Forrestdale Technical Drawing Assistant") | |
| # -------------------- ERROR CHECK -------------------- | |
| if not OPENAI_API_KEY or not ASSISTANT_ID: | |
| st.error("❌ Missing API credentials. Please set OPENAI_API_KEY and ASSISTANT_ID as environment variables.") | |
| st.stop() | |
| client = OpenAI(api_key=OPENAI_API_KEY) | |
| # -------------------- CHAT SESSION -------------------- | |
| 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 | |
| query = st.text_input("Ask about plans, drawings or components", placeholder="e.g. Show me all electrical plans") | |
| if query: | |
| with st.spinner("Querying assistant..."): | |
| try: | |
| # Create thread if needed | |
| if not st.session_state.thread_id: | |
| thread = client.beta.threads.create() | |
| st.session_state.thread_id = thread.id | |
| # Submit message | |
| client.beta.threads.messages.create( | |
| thread_id=st.session_state.thread_id, | |
| role="user", | |
| content=query | |
| ) | |
| # Run assistant | |
| run = client.beta.threads.runs.create( | |
| thread_id=st.session_state.thread_id, | |
| assistant_id=ASSISTANT_ID | |
| ) | |
| # Poll for result | |
| 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 | |
| elif run_status.status in ("failed", "cancelled"): | |
| raise Exception(f"Assistant failed: {run_status.status}") | |
| time.sleep(1) | |
| # Fetch assistant message | |
| messages = client.beta.threads.messages.list(thread_id=st.session_state.thread_id) | |
| for message in reversed(messages.data): | |
| if message.role == "assistant": | |
| content = message.content[0].text.value.strip() | |
| if content.startswith("```json") and content.endswith("```"): | |
| json_block = content.strip("```json\n").strip("```") | |
| parsed = json.loads(json_block) | |
| st.session_state.messages.append(parsed) | |
| else: | |
| st.error("⚠️ Could not parse assistant response as JSON.") | |
| break | |
| except Exception as e: | |
| st.error(f"❌ Error: {e}") | |
| # -------------------- DISPLAY RESULTS -------------------- | |
| if st.session_state.messages: | |
| drawings = st.session_state.messages[-1] | |
| if isinstance(drawings, list): | |
| cols = st.columns(4) | |
| for idx, item in enumerate(drawings): | |
| with cols[idx % 4]: | |
| st.subheader(f"📘 {item['drawing_number']}") | |
| st.caption(f"Discipline: {item['discipline']}") | |
| st.write(item.get("summary", "No summary available.")) | |
| if "images" in item: | |
| for img in item["images"][:1]: | |
| st.image(img, use_column_width=True) | |
| elif "image" in item: | |
| st.image(item["image"], use_column_width=True) | |
| if "question" in item: | |
| st.markdown(f"**Related Question:** {item['question']}") | |