Update app.py

app.py

@@ -127,9 +127,6 @@ For more information on `huggingface_hub` Inference API support, please check th
 """
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
-
-import gradio as gr
-
 def respond(
     message, 
     history: list[tuple[str, str]], 
@@ -162,11 +159,50 @@ def respond(
         response += token
         yield response
 
-# Define a custom Gradio Chat Interface
+# Define a custom Gradio Chat Interface with hidden sliders
 with gr.Blocks() as demo:
     gr.Markdown("### AI-Powered Customer Support Assistant")
     
-    chatbot = gr.ChatInterface(respond)
+    chatbot = gr.ChatInterface(
+        respond, 
+        additional_inputs=[
+            gr.Textbox(
+                value="You are a friendly chatbot.",
+                label="System Message",
+                info="Customize how the assistant behaves in conversations."
+            ),
+            gr.Slider(
+                minimum=1, 
+                maximum=2048, 
+                value=512, 
+                step=1, 
+                label="Max New Tokens",
+                visible=False
+            ),
+            gr.Slider(
+                minimum=0.1, 
+                maximum=4.0, 
+                value=0.7, 
+                step=0.1, 
+                label="Temperature",
+                visible=False
+            ),
+            gr.Slider(
+                minimum=0.1, 
+                maximum=1.0, 
+                value=0.95, 
+                step=0.05, 
+                label="Top-p (Nucleus Sampling)",
+                visible=False
+            ),
+        ]
+    )
+    
+    gr.Markdown("### Instructions")
+    gr.Textbox(
+        value="Enter your query, select response settings, and start the conversation.",
+        interactive=False,
+    )
 
 if __name__ == "__main__":
     demo.launch()