Update app.py

app.py

@@ -1,49 +1,22 @@
 import gradio as gr
 from agent import MyHuggingFaceAgent
 
-print("=" * 50)
-print("🤖 AI Agent Framework Demo - Unit 2: smolagents")
-print("=" * 50)
-
-# Initialize agent with mock (for demonstration)
-agent = MyHuggingFaceAgent()
+agent_instance = MyHuggingFaceAgent()
 
 def chat_response(message, history):
-    """Handle chat messages with the agent."""
-    try:
-        response = agent.run(message)
-        return response
-    except Exception as e:
-        return f"❌ **System Error:** {str(e)}\n\nPlease try a simpler query or contact support."
+    return agent_instance.run(message)
 
-# Create Gradio interface
 demo = gr.ChatInterface(
     fn=chat_response,
-    title="🤖 Unit 2: AI Agent Framework (smolagents)",
-    description="""This demonstrates the **smolagents framework** from Hugging Face.
-**Features:**
-• Tool-calling agent architecture
-• Multiple specialized tools
-• Framework abstraction layer
-**Available Tools:**
-1. 🧮 Calculator
-2. 🌐 Web Search
-3. 📊 Dataset Info
-4. 🌍 Translator
-""",
+    title="🚀 Final Project: Agentic RAG Assistant",
+    description="This agent uses **smolagents** and Agentic RAG to answer questions about the HF course.",
     examples=[
-        ["calculate 15 * 3 + 10"],
-        ["search for latest AI developments"],
-        ["tell me about the mnist dataset"],
-        ["translate hello to French"],
-        ["what is 45 + 67?"],
-        ["find information about machine learning"],
-    ],
+        ["How many bonus marks can I get?"],
+        ["Search for the latest news on AI agents"],
+        ["What is 15% of 450?"],
+        ["How do I submit the final project?"]
+    ]
 )
 
 if __name__ == "__main__":
-    demo.launch(
-        share=False,
-        server_name="0.0.0.0",
-        server_port=7860
-    )
+    demo.launch()