Update app.py

app.py

@@ -3,22 +3,18 @@ from huggingface_hub import InferenceClient
 
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+def respond(message, history: list[tuple[str, str]]):
+    system_message = "You are a friendly Chatbot. Respond only in bisaya language. No english translation."
+    max_tokens = 4096
+    temperature = 0.7
+    top_p = 0.95
 
+    messages = [{"role": "system", "content": system_message}]
     for user_text, assistant_text in history:
         if user_text:
             messages.append({"role": "user", "content": user_text})
         if assistant_text:
             messages.append({"role": "assistant", "content": assistant_text})
-
     messages.append({"role": "user", "content": message})
 
     response = ""
@@ -33,41 +29,7 @@ def respond(
         response += token
         yield response
 
-# The additional_inputs are now hidden by setting visible=False.
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(
-            value="You are a friendly Chatbot. Respond only in bisaya language. No english translation.",
-            label="System message",
-            visible=False,
-        ),
-        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,
-        ),
-    ],
-)
+demo = gr.ChatInterface(respond)
 
 if __name__ == "__main__":
     demo.launch()