Add app.py and requirements.txt, update README

README.md

@@ -1,14 +1,37 @@
 ---
-title: Medical Ai
-emoji: ⚡
-colorFrom: blue
-colorTo: purple
+title: Simple Echo Agent Demo
+emoji: 👋
+colorFrom: green
+colorTo: blue
 sdk: gradio
-sdk_version: 5.33.0
+sdk_version: 4.31.0 # Or your Gradio version
 app_file: app.py
 pinned: false
-license: mit
-short_description: medical ai for helping patients
+license: apache-2.0
+tags:
+  - agent-demo-track # IMPORTANT for Track 3
+  - gradio
+  - hackathon
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Simple Echo Agent Demo
+
+**Hackathon Track:** Agentic Demo Showcase (`agent-demo-track`)
+
+## Description
+
+This is a very simple Gradio app for the Agents-MCP-Hackathon.
+It demonstrates a basic "agent" that just echoes back whatever you type, with a prefix.
+
+## How to Use
+
+1.  Type a message in the input box.
+2.  Click the "Echo Message" button.
+3.  See the agent's response.
+
+## Video Overview
+
+*   **[YOUR VIDEO LINK HERE]** - *You MUST create a short video showing your app and link it here.*
+    *   _Example: A screen recording of you typing and seeing the echo._
+
+---

app.py

@@ -0,0 +1,55 @@
+import gradio as gr
+import time # For a more "natural" typing simulation
+
+def echo_chat_function(message, history):
+    """
+    Responds to a user's message in a chat context.
+    'message' is the latest user input.
+    'history' is a list of previous [user_message, bot_message] pairs.
+    """
+    if not message:
+        # In a chat, if the user sends an empty message,
+        # you might want to prompt them or do nothing.
+        return "Agent: Hmm, did you mean to send something?"
+
+    # This is where you would put your agent's logic (e.g., LLM calls).
+    # For now, we'll just echo with a prefix.
+    response_prefix = "Agent Echo: "
+    full_response = f"{response_prefix}{message}"
+
+    # Simulate the agent "typing" for a better chat feel
+    # gr.ChatInterface handles streaming if you yield partial responses
+    partial_response = ""
+    for char in full_response:
+        partial_response += char
+        time.sleep(0.03)  # Small delay for each character
+        yield partial_response # Yield intermediate parts of the response
+
+# Create the Gradio Chat Interface
+chat_iface = gr.ChatInterface(
+    fn=echo_chat_function,             # The Python function to call for responses
+    chatbot=gr.Chatbot(
+        height=400,
+        # The deprecation warning you saw earlier is for the underlying data format.
+        # When using ChatInterface, it generally handles this for you.
+        # If you were manually populating a Chatbot, you'd use:
+        # value=[{"role": "user", "content": "Hi"}], type="messages"
+        # But ChatInterface handles this internally.
+    ),
+    textbox=gr.Textbox(placeholder="Type your message here and press Enter...",
+                       container=False, scale=7), # Input textbox configuration
+    title="Simple Echo Chat Agent ",
+    description="""
+    This is a simple chat interface for the Agents-MCP-Hackathon.
+    Type a message, and the 'agent' will echo it back.
+    This version includes specific button configurations suitable for newer Gradio versions.
+    """,
+    examples=[["Hello!"], ["How are you today?"]], # Example prompts
+    cache_examples=False, # Don't cache examples for dynamic functions usually
+    
+    submit_btn="Send"               # Text for the submit button (optional, Enter also works)
+)
+
+# Launch the app
+if __name__ == "__main__":
+    chat_iface.launch()

requirements.txt

@@ -0,0 +1 @@
+gradio