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#!/usr/bin/env python3
"""
Final Enhanced Gradio Web UI with Auto-Loading User Conversations
"""
import os
import gradio as gr
from dotenv import load_dotenv
from graph import ArchitectureAssistant
from user_state_manager import user_state_manager
import json
import hashlib
from datetime import datetime
class GradioArchitectureApp:
def __init__(self):
load_dotenv()
api_key = os.getenv("OPENAI_API_KEY")
if not api_key:
raise ValueError("Please set OPENAI_API_KEY in .env file")
self.api_key = api_key
self.assistant = None
self.current_user_id = None
self.conversation_history = []
self.state_manager = user_state_manager
def initialize_user_session(self, user_identifier: str = None):
"""Initialize user session with persistent state"""
if not user_identifier:
# Generate user ID from timestamp for demo
user_identifier = hashlib.md5(str(datetime.now()).encode()).hexdigest()[:12]
self.current_user_id = user_identifier
self.assistant = ArchitectureAssistant(self.api_key, user_identifier)
return user_identifier
def change_user_id(self, new_user_id: str):
"""Change user ID and auto-load their conversation history"""
if not new_user_id.strip():
return [], "β Please enter a valid User ID", "", "Start chatting to see your requirements here!"
try:
# Set new user ID
self.current_user_id = new_user_id.strip()
# Create new assistant instance for this user
self.assistant = ArchitectureAssistant(self.api_key, self.current_user_id)
# Try to load their latest conversation
history = self.state_manager.get_user_history(self.current_user_id)
if history:
# Load most recent conversation
latest_session = history[0]["session_id"]
success = self.assistant.load_previous_state(latest_session)
if success:
# Convert state messages to chat history
chat_history = []
messages = self.assistant.state.get("messages", [])
current_pair = [None, None]
for msg in messages:
if msg["role"] == "user":
current_pair = [msg["content"], None]
elif msg["role"] == "assistant":
if current_pair[0] is not None:
current_pair[1] = msg["content"]
chat_history.append(current_pair)
current_pair = [None, None]
status_msg = f"β
Loaded {len(history)} previous conversation(s) for user {new_user_id}"
summary = self.get_conversation_summary()
return chat_history, status_msg, new_user_id, summary
else:
status_msg = f"β
User {new_user_id} found but couldn't load conversation. Starting fresh."
summary = self.get_conversation_summary()
return [], status_msg, new_user_id, summary
else:
# New user
status_msg = f"β
New user {new_user_id} - starting fresh conversation"
summary = self.get_conversation_summary()
return [], status_msg, new_user_id, summary
except Exception as e:
return [], f"β Error loading user {new_user_id}: {str(e)}", "", "Error loading user"
def chat_with_assistant(self, message, history, user_id_input=""):
"""Process user message and return response with state saving"""
if not message.strip():
return history, "", user_id_input, self.get_conversation_summary()
# Ensure we have an assistant instance
if not self.assistant:
if user_id_input.strip():
self.current_user_id = user_id_input.strip()
self.assistant = ArchitectureAssistant(self.api_key, self.current_user_id)
else:
user_id = self.initialize_user_session()
return history, "", user_id, self.get_conversation_summary()
# Handle special commands
if message.lower() == 'reset':
self.assistant.reset_conversation()
self.conversation_history = []
status_msg = "π Conversation reset! New session started."
return [[status_msg, ""]], "", self.current_user_id or "", self.get_conversation_summary()
# Get response from assistant
try:
response = self.assistant.chat(message)
# Add response to history
history.append([message, response])
# Add to conversation history
self.conversation_history.append({"user": message, "assistant": response})
# Get updated summary
summary = self.get_conversation_summary()
return history, "", self.current_user_id or "", summary
except Exception as e:
error_msg = f"β Error: {str(e)}"
history.append([message, error_msg])
return history, "", self.current_user_id or "", self.get_conversation_summary()
def get_conversation_summary(self):
"""Get formatted conversation summary"""
if not self.assistant:
return "Enter a User ID above to start or resume a conversation!"
summary = self.assistant.get_conversation_summary()
summary_text = f"π **CONVERSATION SUMMARY**\n"
summary_text += f"π€ **User ID:** {self.current_user_id or 'Not set'}\n\n"
# User requirements
reqs = summary["user_requirements"]
summary_text += "**USER REQUIREMENTS:**\n"
if reqs["budget"]:
summary_text += f"β’ Budget: ${reqs['budget']:,.0f}\n"
if reqs["location"]:
summary_text += f"β’ Location: {reqs['location']}\n"
if reqs["family_size"]:
summary_text += f"β’ Family size: {reqs['family_size']}\n"
if reqs["lifestyle_preferences"]:
summary_text += f"β’ Preferences: {', '.join(reqs['lifestyle_preferences'])}\n"
# Floorplan requirements
floor_reqs = summary["floorplan_requirements"]
summary_text += "\n**FLOORPLAN REQUIREMENTS:**\n"
if floor_reqs["num_floors"]:
summary_text += f"β’ Floors: {floor_reqs['num_floors']}\n"
if floor_reqs["total_sqft"]:
summary_text += f"β’ Total sq ft: {floor_reqs['total_sqft']}\n"
if floor_reqs["lot_shape"]:
summary_text += f"β’ Lot shape: {floor_reqs['lot_shape']}\n"
if floor_reqs["lot_dimensions"]:
summary_text += f"β’ Lot dimensions: {floor_reqs['lot_dimensions']}\n"
if floor_reqs["rooms"]:
rooms_str = ", ".join([f"{r['count']}x {r['type']}" for r in floor_reqs["rooms"]])
summary_text += f"β’ Rooms: {rooms_str}\n"
# Project progress
agent_memory = self.assistant.state.get("agent_memory", {})
completed_phases = []
if self.assistant.state.get("detailed_floorplan", {}).get("detailed_rooms"):
completed_phases.append("Architectural Design")
if self.assistant.state.get("budget_breakdown", {}).get("total_construction_cost"):
completed_phases.append("Budget Analysis")
if agent_memory.get("structural_analysis"):
completed_phases.append("Structural Analysis")
if agent_memory.get("sustainability"):
completed_phases.append("Sustainability Review")
if agent_memory.get("permits"):
completed_phases.append("Permit Planning")
if agent_memory.get("interior_design"):
completed_phases.append("Interior Design")
summary_text += f"\n**PROJECT PROGRESS:**\n"
summary_text += f"β’ Completed: {len(completed_phases)}/6 phases\n"
if completed_phases:
summary_text += f"β’ Phases: {', '.join(completed_phases)}\n"
summary_text += f"β’ Total messages: {summary['total_messages']}\n"
return summary_text
def get_user_history_display(self, user_id: str):
"""Get formatted user history for display"""
if not user_id.strip():
return "Please enter a User ID to view history."
try:
history = self.state_manager.get_user_history(user_id.strip())
if not history:
return f"No conversation history found for user: {user_id}"
display_text = f"π **CONVERSATION HISTORY FOR USER: {user_id}**\n\n"
for i, conv in enumerate(history, 1):
timestamp = conv["timestamp"]
session_id = conv["session_id"]
summary = conv.get("summary", {})
display_text += f"**#{i} - {timestamp}**\n"
display_text += f"Session ID: `{session_id}`\n"
if summary.get("total_messages", 0) > 0:
display_text += f"Messages: {summary['total_messages']}\n"
if summary.get("user_requirements"):
reqs = summary["user_requirements"]
if reqs.get("budget"):
display_text += f"Budget: {reqs['budget']}\n"
if reqs.get("location"):
display_text += f"Location: {reqs['location']}\n"
if reqs.get("family_size"):
display_text += f"Family: {reqs['family_size']} people\n"
if summary.get("floorplan_status"):
floor_status = summary["floorplan_status"]
if floor_status.get("size"):
display_text += f"House Size: {floor_status['size']}\n"
if floor_status.get("rooms"):
display_text += f"Rooms: {floor_status['rooms']}\n"
if summary.get("project_progress"):
progress = summary["project_progress"]
completed = progress.get("completed_phases", [])
percentage = progress.get("completion_percentage", 0)
display_text += f"Progress: {percentage}% - {', '.join(completed)}\n"
display_text += "\n---\n\n"
return display_text
except Exception as e:
return f"β Error retrieving history: {str(e)}"
def get_all_users_summary(self):
"""Get summary of all users"""
try:
users = self.state_manager.get_all_users()
if not users:
return "No users found in the system."
display_text = f"π₯ **ALL USERS SUMMARY** ({len(users)} users)\n\n"
for i, user in enumerate(users, 1):
user_id = user["user_id"]
total_conversations = user["total_conversations"]
last_activity = user["last_activity"]
latest_summary = user.get("latest_summary", {})
display_text += f"**#{i} User: {user_id}**\n"
display_text += f"Conversations: {total_conversations}\n"
display_text += f"Last Activity: {last_activity}\n"
if latest_summary.get("project_progress"):
progress = latest_summary["project_progress"]
percentage = progress.get("completion_percentage", 0)
display_text += f"Latest Progress: {percentage}%\n"
display_text += "\n---\n\n"
return display_text
except Exception as e:
return f"β Error retrieving users summary: {str(e)}"
def create_gradio_interface():
"""Create and return the final enhanced Gradio interface"""
app = GradioArchitectureApp()
# Custom CSS for better styling
css = """
.gradio-container {
max-width: 1400px !important;
}
.chat-message {
border-radius: 10px !important;
}
.user-id-input {
background-color: #e3f2fd !important;
font-weight: bold !important;
}
"""
with gr.Blocks(
title="π Architecture Assistant - Multi-User",
theme=gr.themes.Soft(),
css=css
) as interface:
gr.HTML("""
<div style="text-align: center; margin-bottom: 20px;">
<h1>π Residential Architecture Assistant</h1>
<p>Multi-user system with automatic conversation loading and precise floorplan specifications</p>
</div>
""")
# User ID input at the top
with gr.Row():
with gr.Column(scale=4):
user_id_input = gr.Textbox(
placeholder="Enter your User ID (e.g., 'john_smith_house') - automatically loads your conversation history",
label="π€ User ID",
elem_classes=["user-id-input"],
interactive=True
)
with gr.Column(scale=1):
load_user_btn = gr.Button("Load User", variant="primary")
status_display = gr.Markdown(
label="π Status",
value="Enter a User ID above to start or resume your architectural consultation."
)
# Main interface
with gr.Row():
with gr.Column(scale=2):
chatbot = gr.Chatbot(
label="π¬ Chat with your Architecture Assistant",
height=500,
show_copy_button=True,
bubble_full_width=False
)
with gr.Row():
msg = gr.Textbox(
placeholder="Ask about home design, budget, or floorplan planning...",
container=False,
scale=4,
label="Your message"
)
send_btn = gr.Button("Send", variant="primary", scale=1)
with gr.Row():
clear_btn = gr.Button("π Reset Conversation", variant="secondary")
gr.HTML("""
<div style="margin-top: 15px; padding: 10px; background-color: #f0f0f0; border-radius: 5px;">
<h4>π‘ How to use:</h4>
<ul>
<li><strong>New User:</strong> Enter any User ID above and start chatting</li>
<li><strong>Returning User:</strong> Enter your previous User ID - conversation automatically loads</li>
<li><strong>Multiple Users:</strong> Each User ID has completely separate conversations</li>
<li><strong>Floorplans:</strong> Get precise room dimensions for drawing actual plans</li>
</ul>
</div>
""")
with gr.Column(scale=1):
summary_display = gr.Markdown(
label="π Current Project Summary",
value="Enter a User ID above to start or resume a conversation!"
)
gr.HTML("""
<div style="margin-top: 20px; padding: 10px; background-color: #e8f4f8; border-radius: 5px;">
<h4>π€ Available Core Specialists:</h4>
<p><strong>π§ Router:</strong> Intelligent conversation routing</p>
<p><strong>ποΈ General Design:</strong> Architecture principles & design guidance</p>
<p><strong>π° Budget Analysis:</strong> Montreal market costs & feasibility</p>
<p><strong>π Floorplan:</strong> Layout planning with exact dimensions</p>
<p><strong>π Regulation:</strong> Montreal building codes & permit requirements</p>
<br>
</div>
""")
# Example prompts
with gr.Row():
gr.HTML("<h3>π Try these examples:</h3>")
with gr.Row():
example1 = gr.Button("What are key home design principles?", size="sm")
example2 = gr.Button("I have $800k budget for Montreal - realistic?", size="sm")
example3 = gr.Button("Need 3BR/2BA house, 2500 sqft - help floorplan design", size="sm")
with gr.Row():
example4 = gr.Button("Show me a detailed budget breakdown", size="sm")
example5 = gr.Button("What permits do I need for my house design in Montreal?", size="sm")
example6 = gr.Button("Help me with Montreal building codes", size="sm")
# History tab
with gr.Accordion("π User History & Management", open=False):
with gr.Row():
with gr.Column():
gr.HTML("<h4>π View User History</h4>")
with gr.Row():
history_user_id = gr.Textbox(
placeholder="Enter User ID to view history",
label="User ID for History",
scale=3
)
view_history_btn = gr.Button("View History", variant="primary", scale=1)
user_history_display = gr.Markdown(
label="User History",
value="Enter a User ID to view their conversation history."
)
with gr.Column():
gr.HTML("<h4>π₯ All Users Overview</h4>")
view_all_btn = gr.Button("View All Users", variant="secondary")
all_users_display = gr.Markdown(
label="All Users Summary",
value="Click 'View All Users' to see system overview."
)
# Event handlers
def send_message(message, history, user_id):
return app.chat_with_assistant(message, history, user_id)
def change_user(user_id):
return app.change_user_id(user_id)
def view_user_history(user_id):
return app.get_user_history_display(user_id)
def view_all_users():
return app.get_all_users_summary()
# Wire up the events
load_user_btn.click(change_user, [user_id_input], [chatbot, status_display, user_id_input, summary_display])
msg.submit(send_message, [msg, chatbot, user_id_input], [chatbot, msg, user_id_input, summary_display])
send_btn.click(send_message, [msg, chatbot, user_id_input], [chatbot, msg, user_id_input, summary_display])
clear_btn.click(lambda: app.assistant.reset_conversation() if app.assistant else None, outputs=[chatbot, summary_display])
# History management events
view_history_btn.click(view_user_history, [history_user_id], [user_history_display])
view_all_btn.click(view_all_users, outputs=[all_users_display])
# Example button handlers
example1.click(lambda: "What are key home design principles?", outputs=msg)
example2.click(lambda: "I have $800k budget for Montreal - is that realistic?", outputs=msg)
example3.click(lambda: "I need a 3 bedroom, 2 bathroom house with about 2500 square feet. Can you help me plan the layout?", outputs=msg)
example4.click(lambda: "Can you show me a detailed budget breakdown for my house design?", outputs=msg)
example5.click(lambda: "What permits do I need for my house design in Montreal?", outputs=msg)
example6.click(lambda: "Help me understand Montreal building codes and regulations", outputs=msg)
return interface
def main():
"""Launch the final enhanced Gradio interface"""
try:
interface = create_gradio_interface()
print("π Starting Final Architecture Assistant Web UI...")
print("π₯ Features: Multi-user support, auto-loading conversations, precise floorplans")
print("π Make sure you have set OPENAI_API_KEY in your .env file")
print("π§ Fixed issues: User conversation resumption, exact floorplan dimensions, SVG generation")
interface.launch(
server_name="0.0.0.0",
server_port=7862,
share=False,
show_error=True,
quiet=False
)
except ValueError as e:
print(f"β Configuration Error: {e}")
print("Please copy .env.example to .env and add your OpenAI API key")
except Exception as e:
print(f"β Error starting the application: {e}")
if __name__ == "__main__":
main() |