update to gradio

app.py

@@ -1,9 +1,10 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
+# Connect to Hugging Face model
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
-
+# Define the chat response function
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -32,28 +33,21 @@ def respond(
         top_p=top_p,
     ):
         token = message.choices[0].delta.content
-
         response += token
         yield response
 
-
+# Gradio interface layout
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
         gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        # gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        # gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        # gr.Slider(
-        #     minimum=0.1,
-        #     maximum=1.0,
-        #     value=0.95,
-        #     step=0.05,
-        #     label="Top-p (nucleus sampling)",
-        # ),
     ],
+    css=".gradio-container {background-color: #ffeef8;} .gr-button {background-color: #ff88cc; color: white; border-radius: 12px;} .gr-input {border: 2px solid #ff66b2; border-radius: 10px;} .gr-output {border: 2px solid #ff66b2; border-radius: 10px; padding: 10px;} .gr-button:hover {background-color: #ff66b2;} .gr-textbox {background-color: #fff1f5;}",
+    theme="huggingface",  # Hugging Face's default theme
+    title="Cuddly Chatbot 🐾",  # Title for the app
+    description="Welcome to the most adorable chatbot! 💖",
 )
 
-
 if __name__ == "__main__":
     demo.launch()