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gradio_app.py
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"""
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🤖 PENNY V2.2 Gradio Interface
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Hugging Face Space Entry Point
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This file connects PENNY's backend to a Gradio chat interface,
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allowing users to interact with PENNY through a web UI on Hugging Face Spaces.
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"""
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import gradio as gr
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import logging
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import sys
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import asyncio
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import os
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from dotenv import load_dotenv # Add this
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from typing import List, Tuple, Dict, Any
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from datetime import datetime
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# Load environment variables from .env file
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load_dotenv() # Add this line
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# Verify the key loaded (optional debug)
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if os.getenv("AZURE_MAPS_KEY"):
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print("✅ AZURE_MAPS_KEY loaded successfully")
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else:
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print("⚠️ AZURE_MAPS_KEY not found!")
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from typing import List, Tuple, Dict, Any
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from datetime import datetime
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# Setup logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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handlers=[logging.StreamHandler(sys.stdout)]
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)
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logger = logging.getLogger(__name__)
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# ============================================================
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# IMPORT PENNY MODULES - FIXED FOR ACTUAL FILE STRUCTURE
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# ============================================================
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try:
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# Core orchestration and routing
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from app.orchestrator import run_orchestrator
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# REMOVED: from app.router import route_query # Function doesn't exist
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# Utilities
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from app.location_utils import geocode_address, get_user_location
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from app.logging_utils import setup_logger
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# Event and weather handling
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from app.event_weather import get_event_recommendations_with_weather # FIXED: was get_weather_info
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# Tool agent for officials and resources
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from app.tool_agent import handle_tool_request # FIXED: removed non-existent functions
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# REMOVED: initialize_models doesn't exist in model_loader
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# from app.model_loader import initialize_models
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# Intent classification
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from app.intents import classify_intent, IntentType
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logger.info("✅ Successfully imported PENNY modules from app/")
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except ImportError as import_error:
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logger.error(f"❌ Failed to import PENNY modules: {import_error}")
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logger.error(f" Make sure all files exist in app/ folder")
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logger.error(f" Current error: {str(import_error)}")
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# Create fallback functions so the interface can still load
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async def run_orchestrator(message: str, context: Dict[str, Any]) -> Dict[str, Any]:
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return {
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"reply": "⚠️ PENNY is initializing. Please try again in a moment.",
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"intent": "error",
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"confidence": 0.0
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}
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def get_service_availability() -> Dict[str, bool]:
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return {
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"orchestrator": False,
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"weather_service": False,
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"event_database": False,
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"resource_finder": False
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}
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# ============================================================
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# SERVICE AVAILABILITY CHECK
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# ============================================================
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def get_service_availability() -> Dict[str, bool]:
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"""
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Check which PENNY services are available.
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Returns dict of service_name -> availability status.
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"""
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services = {}
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try:
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# Check if orchestrator is callable
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services["orchestrator"] = callable(run_orchestrator)
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except:
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services["orchestrator"] = False
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try:
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# Check if event/weather module loaded
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from app.event_weather import get_event_recommendations_with_weather # FIXED
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services["weather_service"] = True
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except:
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services["weather_service"] = False
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try:
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# Check if event database accessible
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from app.event_weather import get_event_recommendations_with_weather # FIXED
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services["event_database"] = True
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except:
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services["event_database"] = False
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try:
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# Check if tool agent loaded
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from app.tool_agent import handle_tool_request # FIXED: was search_resources
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services["resource_finder"] = True
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except:
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services["resource_finder"] = False
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return services
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# ============================================================
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# SUPPORTED CITIES CONFIGURATION
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# ============================================================
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SUPPORTED_CITIES = [
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"Atlanta, GA",
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"Birmingham, AL",
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"Chesterfield, VA",
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"El Paso, TX",
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"Norfolk, VA",
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"Providence, RI",
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"Seattle, WA"
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]
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def get_city_choices() -> List[str]:
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"""Get list of supported cities for dropdown."""
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try:
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return ["Not sure / Other"] + sorted(SUPPORTED_CITIES)
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except Exception as e:
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logger.error(f"Error loading cities: {e}")
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return ["Not sure / Other", "Norfolk, VA"]
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# ============================================================
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# CHAT HANDLER
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# ============================================================
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async def chat_with_penny(
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message: str,
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city: str,
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history: List[Tuple[str, str]]
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) -> Tuple[List[Tuple[str, str]], str]:
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"""
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Process user message through PENNY's orchestrator and return response.
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Args:
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message: User's input text
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city: Selected city/location
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history: Chat history (list of (user_msg, bot_msg) tuples)
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Returns:
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Tuple of (updated_history, empty_string_to_clear_input)
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"""
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if not message.strip():
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return history, ""
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try:
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# Build context from selected city
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context = {
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"timestamp": datetime.now().isoformat(),
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"conversation_history": history[-5:] if history else [] # Last 5 exchanges
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}
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# Add location if specified
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if city and city != "Not sure / Other":
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context["location"] = city
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context["tenant_id"] = city.split(",")[0].lower().replace(" ", "_")
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logger.info(f"📨 Processing: '{message[:60]}...' | City: {city}")
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# Call PENNY's orchestrator
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result = await run_orchestrator(message, context)
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# Handle both dict and OrchestrationResult objects
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if hasattr(result, 'to_dict'):
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result = result.to_dict()
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elif not isinstance(result, dict):
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# Fallback: try to access attributes directly
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reply = getattr(result, 'reply', "I'm having trouble right now. Please try again! 💛")
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intent = getattr(result, 'intent', 'unknown')
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confidence = getattr(result, 'confidence', 0.0)
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history.append((message, reply))
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logger.info(f"✅ Response generated | Intent: {intent} | Confidence: {confidence:.2f}")
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return history, ""
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# Extract response from dictionary
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reply = result.get("reply", "I'm having trouble right now. Please try again! 💛")
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intent = result.get("intent", "unknown")
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confidence = result.get("confidence", 0.0)
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# Add to history
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history.append((message, reply))
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logger.info(f"✅ Response generated | Intent: {intent} | Confidence: {confidence:.2f}")
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return history, ""
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except Exception as e:
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logger.error(f"❌ Error processing message: {e}", exc_info=True)
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error_reply = (
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"I'm having trouble processing your request right now. "
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"Please try again in a moment! 💛\n\n"
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f"_Error: {str(e)[:100]}_"
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)
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history.append((message, error_reply))
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return history, ""
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def chat_with_penny_sync(message: str, city: str, history: List[Tuple[str, str]]) -> Tuple[List[Tuple[str, str]], str]:
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"""
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Synchronous wrapper for chat_with_penny to work with Gradio.
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Gradio expects sync functions, so we create an event loop here.
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"""
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try:
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# Create new event loop for this call
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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result = loop.run_until_complete(chat_with_penny(message, city, history))
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loop.close()
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return result
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except Exception as e:
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logger.error(f"Error in sync wrapper: {e}")
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error_msg = f"Error: {str(e)}"
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history.append((message, error_msg))
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return history, ""
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# ============================================================
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# SERVICE STATUS DISPLAY
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# ============================================================
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def get_service_status() -> str:
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"""Display current service availability status."""
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try:
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services = get_service_availability()
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status_lines = ["**🔧 PENNY Service Status:**\n"]
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service_names = {
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"orchestrator": "🧠 Core Orchestrator",
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"weather_service": "🌤️ Weather Service",
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"event_database": "📅 Event Database",
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"resource_finder": "🏛️ Resource Finder"
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}
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for service_key, available in services.items():
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icon = "✅" if available else "⚠️"
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status = "Online" if available else "Limited"
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name = service_names.get(service_key, service_key.replace('_', ' ').title())
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status_lines.append(f"{icon} **{name}**: {status}")
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return "\n".join(status_lines)
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except Exception as e:
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logger.error(f"Error getting service status: {e}")
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return "**⚠️ Status:** Unable to check service availability"
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# ============================================================
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# GRADIO UI DEFINITION
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# ============================================================
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# Custom CSS for enhanced styling
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custom_css = """
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#chatbot {
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height: 500px;
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overflow-y: auto;
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border-radius: 8px;
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}
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.gradio-container {
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font-family: 'Inter', -apple-system, BlinkMacSystemFont, sans-serif;
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}
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#status-panel {
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background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%);
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padding: 15px;
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border-radius: 8px;
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margin: 10px 0;
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}
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footer {
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display: none !important;
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}
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.message-user {
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background-color: #e3f2fd !important;
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}
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.message-bot {
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background-color: #fff3e0 !important;
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}
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"""
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# Build the Gradio interface
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with gr.Blocks(
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theme=gr.themes.Soft(primary_hue="amber", secondary_hue="blue"),
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css=custom_css,
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title="PENNY V2.2 - Civic Assistant"
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) as demo:
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# Header
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gr.Markdown(
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"""
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# 🤖 PENNY V2.2 - People's Engagement Network Navigator for You
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**Your multilingual civic assistant connecting residents to local government services and community resources.**
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### 💬 Ask me about:
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- 🌤️ **Weather conditions** and forecasts
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- 📅 **Community events** and activities
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- 🏛️ **Local resources** (shelters, libraries, food banks, healthcare)
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- 👥 **Elected officials** and government contacts
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- 🌍 **Translation** services (27+ languages)
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- 📄 **Document assistance** and form help
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"""
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)
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with gr.Row():
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with gr.Column(scale=2):
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# City selector
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city_dropdown = gr.Dropdown(
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choices=get_city_choices(),
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value="Norfolk, VA",
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label="📍 Select Your City",
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info="Choose your city for location-specific information",
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interactive=True
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)
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# Chat interface
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chatbot = gr.Chatbot(
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label="💬 Chat with PENNY",
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elem_id="chatbot",
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avatar_images=(None, "🤖"),
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show_label=True,
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height=500,
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bubble_full_width=False
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)
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# Input row
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with gr.Row():
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msg_input = gr.Textbox(
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placeholder="Type your message here... (e.g., 'What's the weather today?')",
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show_label=False,
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scale=4,
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container=False,
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lines=1
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)
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submit_btn = gr.Button("Send 📤", variant="primary", scale=1)
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# Clear button
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clear_btn = gr.Button("🗑️ Clear Chat", variant="secondary", size="sm")
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# Example queries
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gr.Examples(
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examples=[
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["What's the weather in Norfolk today?"],
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["Any community events this weekend?"],
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["I need help finding a food bank"],
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["Who is my city council representative?"],
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["Show me local libraries"],
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["Translate 'hello' to Spanish"],
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["Help me understand this document"]
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],
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inputs=msg_input,
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label="💡 Try asking:"
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)
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with gr.Column(scale=1):
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# Service status panel
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status_display = gr.Markdown(
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value=get_service_status(),
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label="System Status",
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elem_id="status-panel"
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)
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# Refresh status button
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refresh_btn = gr.Button("🔄 Refresh Status", size="sm", variant="secondary")
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gr.Markdown(
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"""
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### 🌟 Key Features
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- ✅ **27+ Languages** supported
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- ✅ **Real-time weather** via Azure Maps
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- ✅ **Community events** database
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- ✅ **Local resource** finder
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- ✅ **Government contact** lookup
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- ✅ **Document processing** help
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- ✅ **Multilingual** support
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---
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### 📍 Supported Cities
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- Atlanta, GA
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- Birmingham, AL
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- Chesterfield, VA
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- El Paso, TX
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| 410 |
-
- Norfolk, VA
|
| 411 |
-
- Providence, RI
|
| 412 |
-
- Seattle, WA
|
| 413 |
-
|
| 414 |
-
---
|
| 415 |
-
|
| 416 |
-
### 🆘 Need Help?
|
| 417 |
-
|
| 418 |
-
PENNY can assist with:
|
| 419 |
-
- Finding emergency services
|
| 420 |
-
- Locating government offices
|
| 421 |
-
- Understanding civic processes
|
| 422 |
-
- Accessing community programs
|
| 423 |
-
|
| 424 |
-
---
|
| 425 |
-
|
| 426 |
-
💛 *PENNY is here to help connect you with civic resources!*
|
| 427 |
-
"""
|
| 428 |
-
)
|
| 429 |
-
|
| 430 |
-
# Event handlers
|
| 431 |
-
submit_btn.click(
|
| 432 |
-
fn=chat_with_penny_sync,
|
| 433 |
-
inputs=[msg_input, city_dropdown, chatbot],
|
| 434 |
-
outputs=[chatbot, msg_input]
|
| 435 |
-
)
|
| 436 |
-
|
| 437 |
-
msg_input.submit(
|
| 438 |
-
fn=chat_with_penny_sync,
|
| 439 |
-
inputs=[msg_input, city_dropdown, chatbot],
|
| 440 |
-
outputs=[chatbot, msg_input]
|
| 441 |
-
)
|
| 442 |
-
|
| 443 |
-
clear_btn.click(
|
| 444 |
-
fn=lambda: ([], ""),
|
| 445 |
-
inputs=None,
|
| 446 |
-
outputs=[chatbot, msg_input]
|
| 447 |
-
)
|
| 448 |
-
|
| 449 |
-
refresh_btn.click(
|
| 450 |
-
fn=get_service_status,
|
| 451 |
-
inputs=None,
|
| 452 |
-
outputs=status_display
|
| 453 |
-
)
|
| 454 |
-
|
| 455 |
-
# Footer
|
| 456 |
-
gr.Markdown(
|
| 457 |
-
"""
|
| 458 |
-
---
|
| 459 |
-
**Built with:** Python • FastAPI • Gradio • Azure ML • Hugging Face Transformers
|
| 460 |
-
|
| 461 |
-
**Version:** 2.2 | **Last Updated:** November 2025
|
| 462 |
-
|
| 463 |
-
_PENNY is an open-source civic engagement platform designed to improve access to government services._
|
| 464 |
-
"""
|
| 465 |
-
)
|
| 466 |
-
|
| 467 |
-
|
| 468 |
-
# ============================================================
|
| 469 |
-
# INITIALIZATION AND LAUNCH
|
| 470 |
-
# ============================================================
|
| 471 |
-
|
| 472 |
-
def initialize_penny():
|
| 473 |
-
"""Initialize PENNY services at startup."""
|
| 474 |
-
logger.info("=" * 70)
|
| 475 |
-
logger.info("🚀 Initializing PENNY V2.2 Gradio Interface")
|
| 476 |
-
logger.info("=" * 70)
|
| 477 |
-
|
| 478 |
-
# Display service availability at startup
|
| 479 |
-
logger.info("\n📊 Service Availability Check:")
|
| 480 |
-
services = get_service_availability()
|
| 481 |
-
|
| 482 |
-
all_available = True
|
| 483 |
-
for service, available in services.items():
|
| 484 |
-
status = "✅ Available" if available else "❌ Not loaded"
|
| 485 |
-
logger.info(f" {service.ljust(20)}: {status}")
|
| 486 |
-
if not available:
|
| 487 |
-
all_available = False
|
| 488 |
-
|
| 489 |
-
if all_available:
|
| 490 |
-
logger.info("\n✅ All services loaded successfully!")
|
| 491 |
-
else:
|
| 492 |
-
logger.warning("\n⚠️ Some services are not available. PENNY will run with limited functionality.")
|
| 493 |
-
|
| 494 |
-
logger.info("\n" + "=" * 70)
|
| 495 |
-
logger.info("🤖 PENNY is ready to help residents!")
|
| 496 |
-
logger.info("=" * 70 + "\n")
|
| 497 |
-
|
| 498 |
-
|
| 499 |
-
if __name__ == "__main__":
|
| 500 |
-
# Initialize services
|
| 501 |
-
initialize_penny()
|
| 502 |
-
|
| 503 |
-
# Launch the Gradio app
|
| 504 |
-
demo.launch(
|
| 505 |
-
server_name="0.0.0.0",
|
| 506 |
-
server_port=7860,
|
| 507 |
-
share=False,
|
| 508 |
-
show_error=True
|
| 509 |
-
)
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