Update app.py

app.py

@@ -1,11 +1,25 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
+# Custom background CSS with semi-transparent panel
+css = """
+body {
+  background-image: url('https://cdn-uploads.huggingface.co/production/uploads/67351c643fe51cb1aa28f2e5/wuyd5UYTh9jPrMJGmV9yC.jpeg');
+  background-size: cover;
+  background-position: center;
+  background-repeat: no-repeat;
+}
+#chat-container {
+  background-color: rgba(255, 255, 255, 0.85);
+  padding: 2rem;
+  border-radius: 12px;
+  max-width: 700px;
+  margin: auto;
+  box-shadow: 0 0 12px rgba(0, 0, 0, 0.3);
+}
 """
-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
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 def respond(
     message,
@@ -35,30 +49,21 @@ def respond(
         top_p=top_p,
     ):
         token = message.choices[0].delta.content
-
         response += token
         yield response
 
 
-"""
-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)",
-        ),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
     ],
+    css=css,
+    elem_id="chat-container"
 )
 
-
 if __name__ == "__main__":
     demo.launch()