Update app.py

Updated the code to be based on the Creating a Chatbot Fast document. (https://www.gradio.app/guides/creating-a-chatbot-fast)

app.py

@@ -1,43 +1,86 @@
 import gradio as gr
+import random
+import time
 
-"""
-This is a simple chatbot inspired by the Gradio guide, with predefined responses.
-"""
-
-# Define the chatbot response function
-def respond(message, history):
+def chatbot_response(message, history):
     """
-    Respond to user input based on predefined logic.
-    :param message: User's most recent message.
-    :param history: List of previous messages in the format [{"role": ..., "content": ...}].
-    :return: Updated history with the bot's response.
+    Enhanced chatbot response function with more natural responses and features.
+    Args:
+        message (str): User's current message
+        history (list): Chat history
+    Returns:
+        str: Bot's response, potentially streamed
     """
-    # Predefined responses
+    # Expanded response dictionary with more varied responses
     responses = {
-        "hello": "Hi there! How can I help you?",
-        "how are you?": "I'm just a bot, but I'm doing great! How about you?",
-        "what's your name?": "I'm your friendly chatbot! What's your name?",
-        "bye": "Goodbye! Have a great day!",
+        "hello": [
+            "Hi there! How can I help you today?",
+            "Hello! Nice to meet you!",
+            "Hey! What's on your mind?",
+        ],
+        "how are you": [
+            "I'm doing great, thanks for asking! How about you?",
+            "I'm functioning perfectly! How are you today?",
+            "All systems operational! How's your day going?",
+        ],
+        "bye": [
+            "Goodbye! Have a great day!",
+            "See you later! Take care!",
+            "Bye for now! Come back soon!",
+        ],
+        "thank": [
+            "You're welcome!",
+            "Glad I could help!",
+            "No problem at all!",
+        ],
     }
+    
+    # Simulate typing with streaming response
+    message = message.lower().strip()
+    
+    # Find matching response
+    for key in responses:
+        if key in message:
+            response = random.choice(responses[key])
+            # Stream the response
+            for i in range(len(response)):
+                time.sleep(0.02)  # Add slight delay for natural feeling
+                yield response[:i+1]
+            return
 
-    # Default response if no match is found
-    response = responses.get(message.lower(), "I'm sorry, I didn't understand that. Can you try rephrasing?")
-
-    # Update the chat history
-    history.append({"role": "user", "content": message})
-    history.append({"role": "assistant", "content": response})
-
-    return history
+    # Default response if no match found
+    default_responses = [
+        "I'm not sure I understand. Could you rephrase that?",
+        "Interesting! Tell me more about that.",
+        "I'm still learning. Could you elaborate?",
+        "That's a good question. Let me think about it...",
+    ]
+    
+    response = random.choice(default_responses)
+    for i in range(len(response)):
+        time.sleep(0.02)
+        yield response[:i+1]
 
-# Set up Gradio's ChatInterface
+# Create the Gradio interface with enhanced features
 demo = gr.ChatInterface(
-    fn=respond,  # The chatbot response function
-    type="messages",  # Ensure OpenAI-style 'role' and 'content' keys are used
-    title="Simple Chatbot",
-    description="Type a message to chat with this friendly bot!",
-    examples=["hello", "how are you?", "what's your name?", "bye"],  # Predefined examples for testing
+    fn=chatbot_response,
+    title="Friendly Chat Assistant",
+    description="Chat with me! I can respond to greetings, questions, and more!",
+    examples=[
+        "Hello there!",
+        "How are you doing?",
+        "Thank you for helping",
+        "Goodbye!",
+    ],
+    retry_btn="Retry ↺",
+    undo_btn="Undo ↩",
+    clear_btn="Clear 🗑️",
+    theme="soft",
+    cache_examples=True,
+    save_history=True,  # Enable chat history
+    flagging_mode="manual",  # Enable user feedback
 )
 
-# Launch the app
+# Launch the app with additional sharing capability
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(share=True)