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app.py

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+import gradio as gr
+import logging
+from ai_service import AIService
+
+logger = logging.getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+
+# Initialize the AI Service
+ai_service = AIService()
+
+# Store conversation history
+conversation_history = []
+
+def chat_interface(user_message):
+
+    global conversation_history
+    
+    if not user_message.strip():
+        return "", "No intent detected", "Start a conversation..."
+    
+    # Generate response
+    response, intent_obj, reasoning_details = ai_service.generate_response(
+        user_message, 
+        conversation_history
+    )
+    
+    # Add to conversation history
+    conversation_history.append({
+        "role": "user",
+        "content": user_message
+    })
+    conversation_history.append({
+        "role": "assistant",
+        "content": response,
+        "reasoning_details": reasoning_details
+    })
+    
+    # Format intent display
+    intent1 = intent_obj.get("intent1", "unknown")
+    conf1 = intent_obj.get("confidence1", 0)
+    intent2 = intent_obj.get("intent2", "unknown")
+    conf2 = intent_obj.get("confidence2", 0)
+    
+    intent_display = f"**Primary Intent:** {intent1} ({int(conf1*100)}%)\n\n**Secondary Intent:** {intent2} ({int(conf2*100)}%)"
+    
+    # Format reasoning display
+    reasoning_display = "No reasoning available"
+    if reasoning_details:
+        reasoning_display = f"**Reasoning:** {reasoning_details}"
+    
+    return response, intent_display, reasoning_display
+
+def clear_history():
+    """Clear conversation history"""
+    global conversation_history
+    conversation_history = []
+    return "", "", "Conversation cleared", "No intent detected", "Start a conversation..."
+
+def format_conversation():
+    """Format and display full conversation history"""
+    if not conversation_history:
+        return "No conversation history yet."
+    
+    formatted = ""
+    for msg in conversation_history:
+        role = msg.get("role", "unknown").upper()
+        content = msg.get("content", "")
+        formatted += f"**{role}:** {content}\n\n"
+    
+    return formatted
+
+# Create the Gradio interface
+with gr.Blocks(title="SAK Informatics", theme=gr.themes.Soft()) as demo:
+    gr.Markdown(
+        """
+        # SAK Informatics Customer Responce Support Chatbot
+        
+        Welcome! This chatbot helps with customer support inquiries including orders, payments, refunds, shipping, and more.
+        
+        **Developed by Namani Vamshi Krishna**
+        """
+    )
+    
+    with gr.Row():
+        with gr.Column(scale=2):
+            gr.Markdown("### Chat Interface")
+            chatbox = gr.Textbox(
+                label="Your Message",
+                placeholder="Type your question or concern here...",
+                lines=3
+            )
+            submit_btn = gr.Button("Send", variant="primary", size="lg")
+            clear_btn = gr.Button("Clear History", variant="secondary")
+        
+        with gr.Column(scale=1):
+            gr.Markdown("### Intent Classification")
+            intent_output = gr.Markdown("No intent detected")
+            
+            gr.Markdown("### Reasoning Details")
+            reasoning_output = gr.Markdown("Start a conversation...")
+    
+    with gr.Row():
+        response_output = gr.Textbox(
+            label="Chatbot Response",
+            lines=5,
+            interactive=False
+        )
+    
+    with gr.Row():
+        gr.Markdown("### Conversation History")
+        history_output = gr.Textbox(
+            label="Full Conversation",
+            lines=8,
+            interactive=False
+        )
+    
+    # Connect button click to chat function
+    submit_btn.click(
+        fn=chat_interface,
+        inputs=[chatbox],
+        outputs=[response_output, intent_output, reasoning_output]
+    ).then(
+        fn=format_conversation,
+        inputs=[],
+        outputs=[history_output]
+    ).then(
+        fn=lambda: "",
+        inputs=[],
+        outputs=[chatbox]
+    )
+    
+    # Handle Enter key
+    chatbox.submit(
+        fn=chat_interface,
+        inputs=[chatbox],
+        outputs=[response_output, intent_output, reasoning_output]
+    ).then(
+        fn=format_conversation,
+        inputs=[],
+        outputs=[history_output]
+    ).then(
+        fn=lambda: "",
+        inputs=[],
+        outputs=[chatbox]
+    )
+    
+    # Clear button functionality
+    clear_btn.click(
+        fn=clear_history,
+        inputs=[],
+        outputs=[chatbox, response_output, history_output, intent_output, reasoning_output]
+    )
+    
+    gr.Markdown(
+        """
+        ---
+        **Support Categories:**
+        - Order Management (place, cancel, change)
+        - Payment & Invoicing
+        - Refunds & Returns
+        - Shipping & Delivery
+        - Account Management
+        - Customer Service
+        """
+    )
+
+if __name__ == "__main__":
+    demo.launch(share=True)

requirements.txt

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+gradio==4.26.0
+requests==2.31.0