Update app.py

app.py

@@ -1,12 +1,10 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
+# Initialize the model and tokenizer
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
-
+# Define the conversation flow
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -39,13 +37,22 @@ def respond(
         response += token
         yield response
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# Create a custom theme for the chat interface
+theme = gr.Theme(
+    primary_color="#3498db",
+    secondary_color="#f1c40f",
+    background_color="#f9f9f9",
+    text_color="#333",
+    font="Open Sans",
+)
+
+# Create the chat interface
 demo = gr.ChatInterface(
     respond,
+    title="NVS AI: Health Conversational Chatbot",
+    description="Get answers to your health-related questions!",
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        gr.Textbox(value="You are a friendly health 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(
@@ -56,8 +63,8 @@ demo = gr.ChatInterface(
             label="Top-p (nucleus sampling)",
         ),
     ],
+    theme=theme,
 )
 
-
 if __name__ == "__main__":
     demo.launch()