Update app.py

app.py

@@ -3,6 +3,7 @@ from huggingface_hub import InferenceClient
 
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
+
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -35,27 +36,25 @@ def respond(
         response += token
         yield response
 
-# Create a custom function for the theme and interface
-def create_interface():
-    with gr.Blocks(theme='HaleyCH/HaleyCH_Theme') as demo:
-        with gr.Row():
-            with gr.Column():
-                # Inputs for system message, max tokens, temperature, top_p
-                system_message = gr.Textbox(value="You are a friendly Chatbot.", label="System message")
-                max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
-                temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
-                top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
-                
-                # Chat Interface
-                chat = gr.ChatInterface(
-                    fn=respond,
-                    inputs=[system_message, max_tokens, temperature, top_p],
-                    theme='HaleyCH/HaleyCH_Theme'
-                )
-                
-    return demo
-
-# Launch the Gradio app
+"""
+For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
+"""
+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)",
+        ),
+    ],
+)
+
+
 if __name__ == "__main__":
-    interface = create_interface()
-    interface.launch()
+    demo.launch()