Update app.py

app.py

@@ -42,7 +42,6 @@ from difflib import SequenceMatcher
 import httpx
 import langdetect
 from langdetect import detect
-import gradio as gr
 import threading
 
 # Configure advanced logging
@@ -2808,291 +2807,7 @@ Response:
             error_msg = "❌ AI Assistant encountered an error. Please try again or type 'main' to return to main menu."
         send_whatsjet_message(from_number, error_msg)
 
-# ============================================================================
-# GRADIO INTERFACE FUNCTIONS
-# ============================================================================
-
-# Global variables for Gradio
-bot_status = "Running"  # Bot is running since it's integrated
-bot_thread = None
-
-def get_bot_status():
-    """Get the current status of the bot"""
-    global bot_status
-    try:
-        # Try to connect to the bot's health endpoint
-        response = requests.get("http://localhost:7860/health", timeout=5)
-        if response.status_code == 200:
-            data = response.json()
-            if data.get("status") == "healthy":
-                bot_status = "Running"
-                return "🟢 Running", data
-            else:
-                bot_status = "Error"
-                return "🔴 Error", data
-        else:
-            bot_status = "Error"
-            return "🔴 Error", {"error": f"HTTP {response.status_code}"}
-    except Exception as e:
-        bot_status = "Stopped"
-        return "🔴 Stopped", {"error": str(e)}
-
-def start_bot():
-    """Start the WhatsApp bot (for Gradio interface)"""
-    global bot_status
-    
-    if bot_status == "Running":
-        return "Bot is already running!", "🟢 Running", "Bot is already active"
-    
-    try:
-        bot_status = "Running"
-        return "✅ Bot started successfully!", "🟢 Running", "Bot is now running on port 7860"
-    except Exception as e:
-        return f"❌ Error starting bot: {str(e)}", "🔴 Stopped", f"Error: {str(e)}"
-
-def stop_bot():
-    """Stop the WhatsApp bot (for Gradio interface)"""
-    global bot_status
-    
-    try:
-        bot_status = "Stopped"
-        return "✅ Bot stopped successfully!", "🔴 Stopped", "Bot has been stopped"
-    except:
-        bot_status = "Stopped"
-        return "✅ Bot stopped!", "🔴 Stopped", "Bot has been stopped"
-
-def get_health_info():
-    """Get detailed health information"""
-    try:
-        response = requests.get("http://localhost:7860/health", timeout=5)
-        if response.status_code == 200:
-            data = response.json()
-            return f"""
-## 🏥 Bot Health Status
-
-**Status**: {data.get('status', 'Unknown')}
-**Timestamp**: {data.get('timestamp', 'Unknown')}
-**Products Loaded**: {'✅ Yes' if data.get('products_loaded') else '❌ No'}
-**OpenAI Available**: {'✅ Yes' if data.get('openai_available') else '❌ No'}
-**WhatsJet Configured**: {'✅ Yes' if data.get('whatsjet_configured') else '❌ No'}
-
-**Environment**: Hugging Face Spaces
-**Port**: 7860
-**Version**: 2.0.0 (Complete Edition)
-            """
-        else:
-            return "❌ Unable to get health information"
-    except Exception as e:
-        return f"❌ Error getting health info: {str(e)}"
-
-def get_webhook_info():
-    """Get webhook configuration information"""
-    server_url = os.getenv("SERVER_URL", "Not configured")
-    whatsjet_url = os.getenv("WHATSJET_API_URL", "Not configured")
-    vendor_uid = os.getenv("WHATSJET_VENDOR_UID", "Not configured")
-    
-    return f"""
-## 🔗 Webhook Configuration
-
-**Server URL**: {server_url}
-**WhatsJet API URL**: {whatsjet_url}
-**Vendor UID**: {vendor_uid[:10] + '...' if len(vendor_uid) > 10 else vendor_uid}
-**Webhook Endpoint**: {server_url}/webhook
-
-## 📋 Setup Instructions
-
-1. **Configure WhatsJet Dashboard**:
-   - Log into your WhatsJet dashboard
-   - Go to webhook settings
-   - Set webhook URL to: `{server_url}/webhook`
-   - Enable webhook
-
-2. **Test Webhook**:
-   ```bash
-   curl -X POST {server_url}/webhook \\
-     -H "Content-Type: application/json" \\
-     -d '{{"test": "message"}}'
-   ```
-
-3. **Health Check**:
-   ```bash
-   curl {server_url}/health
-   ```
-
-4. **Voice Test**:
-   ```bash
-   curl {server_url}/test-voice
-   ```
-    """
-
-def get_product_info():
-    """Get information about the product database"""
-    try:
-        if products_df is not None and not products_df.empty:
-            categories = products_df['Category'].value_counts().to_dict()
-            total_products = len(products_df)
-            
-            category_info = "\n".join([f"- **{cat}**: {count} products" for cat, count in categories.items()])
-            
-            return f"""
-## 📦 Product Database
-
-**Total Products**: {total_products}
-
-**Categories**:
-{category_info}
-
-**Sample Products**:
-{products_df.head(5)[['Product Name', 'Category']].to_string(index=False)}
-            """
-        else:
-            return "❌ No products loaded"
-    except Exception as e:
-        return f"❌ Error reading product database: {str(e)}"
-
-def get_bot_features():
-    """Get information about bot features"""
-    return """
-## 🎯 Bot Features (Complete Edition)
-
-### 🤖 AI & Intelligence
-- **GPT-4 Integration** - Advanced AI responses
-- **Voice Transcription** - OpenAI Whisper support
-- **Language Detection** - Auto-detect English/Urdu
-- **Smart Context Management** - Remember user preferences
-- **Intelligent Product Matching** - Fuzzy search with veterinary domain knowledge
-
-### 🏥 Veterinary Features
-- **Product Catalog** - 25+ veterinary products
-- **Category Browsing** - Organized by treatment type
-- **PDF Generation** - Dynamic catalogs and product sheets
-- **Symptom Matching** - Intelligent product recommendations
-- **Species-Specific Advice** - Poultry, livestock, pets
-
-### 📱 WhatsApp Integration
-- **Webhook Handling** - Real-time message processing
-- **Voice Messages** - Audio transcription and response
-- **Menu System** - Context-aware navigation
-- **Contact Management** - Inquiries and availability requests
-- **Analytics** - User interaction tracking
-
-### 🌍 Multilingual Support
-- **English** - Primary language
-- **Urdu** - Full translation support
-- **Auto-Detection** - Language switching
-- **Cultural Adaptation** - Localized responses
-
-### 📊 Advanced Features
-- **Conversation History** - Persistent user sessions
-- **Product Analytics** - Usage tracking
-- **Error Handling** - Graceful failure recovery
-- **Logging** - Comprehensive activity logs
-- **Health Monitoring** - System status checks
-"""
-
-# ============================================================================
-# GRADIO INTERFACE
-# ============================================================================
-
-# Create Gradio interface
-with gr.Blocks(title="Apex Biotical Veterinary WhatsApp Bot - Complete Edition", theme=gr.themes.Soft(), app=app) as demo:
-    gr.Markdown("""
-    # 🏥 Apex Biotical Veterinary WhatsApp Bot - Complete Edition
-    
-    **The most effective and accurate veterinary chatbot in the market**
-    
-    *3000+ lines of advanced veterinary AI with comprehensive features*
-    
-    ---
-    """)
-    
-    with gr.Row():
-        with gr.Column(scale=1):
-            gr.Markdown("### 🚀 Bot Control")
-            
-            status_display = gr.Textbox(
-                label="Bot Status",
-                value="🟢 Running",
-                interactive=False
-            )
-            
-            with gr.Row():
-                start_btn = gr.Button("▶️ Start Bot", variant="primary", size="lg")
-                stop_btn = gr.Button("⏹️ Stop Bot", variant="secondary", size="lg")
-            
-            status_output = gr.Textbox(
-                label="Status Message",
-                interactive=False
-            )
-            
-            gr.Markdown("### 📊 Quick Actions")
-            refresh_btn = gr.Button("🔄 Refresh Status", size="lg")
-            
-        with gr.Column(scale=2):
-            gr.Markdown("### 📈 System Information")
-            health_info = gr.Markdown("Click 'Refresh Status' to see bot information")
-    
-    with gr.Tabs():
-        with gr.TabItem("🏥 Health Status"):
-            health_tab = gr.Markdown("Click 'Refresh Status' to see detailed health information")
-        
-        with gr.TabItem("🔗 Webhook Setup"):
-            webhook_tab = gr.Markdown("Click 'Refresh Status' to see webhook configuration")
-        
-        with gr.TabItem("📦 Products"):
-            products_tab = gr.Markdown("Click 'Refresh Status' to see product database information")
-        
-        with gr.TabItem("🎯 Features"):
-            features_tab = gr.Markdown(get_bot_features())
-    
-    gr.Markdown("""
-    ---
-    
-    ## 🔧 Environment Variables Required
-    
-    Make sure these are set in your Hugging Face Space secrets:
-    
-    - `WHATSJET_API_URL` - WhatsJet API endpoint
-    - `WHATSJET_VENDOR_UID` - Your vendor UID
-    - `WHATSJET_API_TOKEN` - Your API token
-    - `OPENAI_API_KEY` - OpenAI API key for AI features
-    - `SERVER_URL` - Your Hugging Face Space URL
-    
-    ## 📞 Support
-    
-    - Check logs in your Hugging Face Space dashboard
-    - Monitor the health endpoint at `/health`
-    - Test webhook functionality
-    - Contact support if needed
-    
-    ## 🎉 Ready to Deploy!
-    
-    This is the complete 3000-line veterinary bot with all advanced features!
-    """)
-    
-    # Event handlers
-    start_btn.click(
-        fn=start_bot,
-        outputs=[status_output, status_display, health_info]
-    )
-    
-    stop_btn.click(
-        fn=stop_bot,
-        outputs=[status_output, status_display, health_info]
-    )
-    
-    def refresh_all():
-        status, data = get_bot_status()
-        health = get_health_info()
-        webhook = get_webhook_info()
-        products = get_product_info()
-        return status, health, webhook, products
-    
-    refresh_btn.click(
-        fn=refresh_all,
-        outputs=[health_tab, health_tab, webhook_tab, products_tab]
-    )
-
 if __name__ == "__main__":
-    # Launch Gradio interface (which includes the FastAPI app)
-    demo.launch(server_name="0.0.0.0", server_port=7860)
+    # Launch FastAPI app
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)