Update app.py

app.py

@@ -1,19 +1,11 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-
 client = InferenceClient(model="HuggingFaceH4/zephyr-7b-beta")
 
+system_message = "You are MUSK-1, developed by a 14 year old AI engineer, Arjun Singh at Elieon."
 
-system_message = ("You are MUSK-1, developed by a 14 year old AI engineer, Arjun Singh at Elieon.")
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    max_tokens,
-    temperature,
-    top_p,
-):
+def respond(message, history, max_tokens, temperature, top_p):
     messages = [{"role": "system", "content": system_message}]
 
     for user_msg, assistant_msg in history:
@@ -37,24 +29,14 @@ def respond(
         response += token
         yield response
 
-# Create a Gradio ChatInterface with custom styling
-custom_css = """
-.css-1rw10a3 {
-    height: 500px; /* Adjust height as needed */
-    overflow-y: scroll; /* Add scrollbar if content exceeds height */
-}
-"""
-
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
         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)"),
-    ],
-    css=custom_css,  # Apply custom CSS styling
+    ]
 )
 
-# Launch the Gradio app
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()