Update app.py

app.py

@@ -11,10 +11,15 @@ client = Groq(api_key=apikey)
 # Function to interact with the LLM using Groq's API
 def chatbot(messages):
     try:
+        # Ensure the messages list is not empty
         if not messages:
-            messages = []
+            messages = [("System", "Hello! How can I assist you today?")]
 
-        user_input = messages[-1][0] if messages else ""
+        user_input = messages[-1][0]  # Last user input message
+
+        if not user_input.strip():  # Check for empty input
+            messages.append(("System", "It seems like you may have accidentally sent an empty message. Please rephrase."))
+            return messages
 
         # Sending request to Groq API
         chat_completion = client.chat.completions.create(
@@ -42,32 +47,4 @@ with gr.Blocks(theme=gr.themes.Soft()) as iface:
         # Real-Time Text-to-Text Chatbot
         **by ATIF MEHMOOD**
         
-        Chat with an advanced language model using Groq's API. Enjoy real-time interactions!
-        """
-    )
-
-    with gr.Row():
-        chatbot_ui = gr.Chatbot(label="Chat Interface", height=400)
-    
-    with gr.Row():
-        user_input = gr.Textbox(
-            label="Type Your Message",
-            placeholder="Ask me something...",
-            lines=1,
-            interactive=True,
-        )
-        send_button = gr.Button("Send", variant="primary")
-        clear_button = gr.Button("Clear Chat")
-
-    with gr.Row():
-        gr.Examples(
-            examples=["Hello!", "Tell me a joke.", "What's the weather like?"],
-            inputs=user_input,
-        )
-
-    # Link components to functions
-    send_button.click(chatbot, inputs=[chatbot_ui], outputs=chatbot_ui)
-    clear_button.click(reset_chat, inputs=[], outputs=chatbot_ui)
-
-# Launch the Gradio app
-iface.launch()
+