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Delete gradio_app.py
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gradio_app.py
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"""
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🤖 PENNY Gradio Interface
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Hugging Face Space Entry Point
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This file connects PENNY's FastAPI 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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from typing import List, Tuple
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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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# Import Penny's orchestrator
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try:
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from app.orchestrator import run_orchestrator, get_service_availability
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from app.location_utils import SupportedCities
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logger.info("✅ Successfully imported PENNY modules")
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except ImportError as e:
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logger.error(f"❌ Failed to import PENNY modules: {e}")
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raise
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# ============================================================
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# GRADIO CHAT INTERFACE
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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/tenant_id
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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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if city and city != "Not sure / Other":
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context["tenant_id"] = city
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logger.info(f"Processing message: '{message[:50]}...' for city: {city}")
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# Call PENNY's orchestrator
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result = await run_orchestrator(message, context)
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# Extract response
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reply = result.get("reply", "I'm having trouble right now. Please try again! 💛")
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# Add to history
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history.append((message, reply))
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logger.info(f"Response generated successfully (intent: {result.get('intent')})")
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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! 💛"
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)
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history.append((message, error_reply))
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return history, ""
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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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cities = SupportedCities.get_all_cities()
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city_names = [city.full_name for city in cities]
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return ["Not sure / Other"] + sorted(city_names)
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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", "Atlanta, GA", "Seattle, WA"]
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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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for service, available in services.items():
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icon = "✅" if available else "⚠️"
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status = "Available" if available else "Limited"
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status_lines.append(f"{icon} {service.replace('_', ' ').title()}: {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 a polished look
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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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}
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.gradio-container {
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font-family: 'Inter', sans-serif;
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}
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footer {
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display: none !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 - 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 - People's Engagement Network Navigator for You
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**Your multilingual civic assistant connecting residents to local services.**
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Ask me about:
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- 🌤️ Weather conditions
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- 📅 Community events
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- 🏛️ Local resources (shelters, libraries, food banks)
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- 🌍 Translation (27 languages)
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- 📄 Document 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="Not sure / Other",
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label="📍 Select Your City",
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info="Choose your city for location-specific information"
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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=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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)
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submit_btn = gr.Button("Send", variant="primary", scale=1)
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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 today?"],
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["Any events this weekend?"],
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["I need help finding a library"],
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["Show me local resources"],
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["Translate 'hello' to Spanish"]
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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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)
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gr.Markdown(
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"""
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### 🌟 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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- **Document processing** help
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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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- Providence, RI
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- Seattle, WA
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---
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💛 *PENNY is here to help connect you with civic resources!*
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"""
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)
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# Event handlers
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submit_btn.click(
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fn=chat_with_penny,
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inputs=[msg_input, city_dropdown, chatbot],
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outputs=[chatbot, msg_input]
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)
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msg_input.submit(
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fn=chat_with_penny,
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inputs=[msg_input, city_dropdown, chatbot],
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outputs=[chatbot, msg_input]
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)
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# Footer
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gr.Markdown(
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"""
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---
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**Built with:** FastAPI • Gradio • Azure ML • Transformers
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"""
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)
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# ============================================================
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# LAUNCH
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# ============================================================
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if __name__ == "__main__":
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logger.info("=" * 60)
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logger.info("🚀 Launching PENNY Gradio Interface")
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logger.info("=" * 60)
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# Display service availability at startup
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logger.info("\n📊 Service Availability Check:")
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services = get_service_availability()
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for service, available in services.items():
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status = "✅" if available else "❌"
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logger.info(f" {status} {service}: {'Available' if available else 'Not loaded'}")
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logger.info("\n" + "=" * 60)
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logger.info("🤖 PENNY is ready to help residents!")
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logger.info("=" * 60 + "\n")
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# Launch the Gradio app
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860,
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share=False
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)
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