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import streamlit as st
import os
import time
import json
from openai import OpenAI
# App config
st.set_page_config(page_title="🏗️ Forrestdale Technical Drawing Assistant", layout="wide")
st.title("🏗️ Forrestdale Technical Drawing Assistant")
st.caption("Ask about plans, drawings or components")
# Load secrets
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
ASSISTANT_ID = os.environ.get("ASSISTANT_ID")
client = OpenAI(api_key=OPENAI_API_KEY)
if not OPENAI_API_KEY or not ASSISTANT_ID:
st.error("Missing secrets: OPENAI_API_KEY or ASSISTANT_ID")
st.stop()
# Session setup
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
# Prompt input
prompt = st.chat_input("Ask something like 'Show me all civil drawings' or 'Where are the switchboards?'")
if prompt:
st.session_state.messages.append({"role": "user", "content": prompt})
# Chat + assistant processing
if st.session_state.messages and st.session_state.messages[-1]["role"] == "user":
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("🔎 Querying assistant..."):
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"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":
try:
raw = message.content[0].text.value.strip()
if raw.startswith("```json"):
raw = raw.removeprefix("```json").removesuffix("```").strip()
data = json.loads(raw)
st.session_state.messages.append({"role": "assistant", "content": data})
except Exception as e:
st.error(f"⚠️ Could not parse assistant response as JSON.\n{e}")
break
st.rerun()
# Card view rendering
for msg in st.session_state.messages:
if msg["role"] == "assistant":
data = msg["content"]
if isinstance(data, list) and len(data) > 0:
st.markdown("### 📋 Results")
cols = st.columns(4)
for i, item in enumerate(data):
with cols[i % 4]:
st.image(item.get("images", [item.get("image")])[0], caption=item["drawing_number"], use_column_width=True)
with st.expander("Details"):
st.write(f"**Discipline:** {item['discipline']}")
st.write(f"**Summary:** {item['summary']}")
if "question" in item:
st.write(f"**Question:** {item['question']}")
for idx, img in enumerate(item.get("images", [])):
st.image(img, caption=f"Page {idx+1}", use_column_width=True)
else:
st.warning("Assistant returned no matching drawings.")
elif msg["role"] == "user":
with st.chat_message("user"):
st.markdown(msg["content"])
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