fixed

app.py

@@ -1,8 +1,11 @@
+```python
 import os
+
 import gradio as gr
 from huggingface_hub import InferenceClient
 
 MODEL_ID = "play451/Moron"
+
 HF_TOKEN = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACEHUB_API_TOKEN")
 
 client = InferenceClient(
@@ -10,11 +13,12 @@ client = InferenceClient(
     token=HF_TOKEN,
 )
 
+
 def generate(prompt, max_tokens, temperature, top_p):
-    """Generate a response from play451/Moron."""
     prompt = (prompt or "").strip()
+
     if not prompt:
-        return "Please enter a prompt."
+        return ""
 
     try:
         result = client.text_generation(
@@ -25,37 +29,38 @@ def generate(prompt, max_tokens, temperature, top_p):
             do_sample=True,
             return_full_text=False,
         )
+
         return result
+
     except Exception as e:
         return (
             "Inference failed.\n\n"
             f"{type(e).__name__}: {e}\n\n"
-            "If the model requires authenticated inference, add an HF_TOKEN "
-            "secret in the Space settings."
+            "If the model requires authentication, add an HF_TOKEN "
+            "secret to the Space settings."
         )
 
+
 examples = [
     ["Hello! Introduce yourself."],
     ["Write a short explanation of what you can do."],
     ["Give me a creative idea for a Minecraft mod."],
 ]
 
-with gr.Blocks(
-    title="play451/Moron Demo",
-    theme=gr.themes.Soft(),
-) as demo:
+
+with gr.Blocks() as demo:
     gr.Markdown(
         """
 # 🤖 play451/Moron
 
 Interactive demo for **[play451/Moron](https://huggingface.co/play451/Moron)**.
 
-Enter a prompt below and generate text with the model.
+Enter a prompt and generate text with the model.
 """
     )
 
     with gr.Row():
-        with gr.Column(scale=2):
+        with gr.Column(scale=1):
             prompt = gr.Textbox(
                 label="Prompt",
                 placeholder="Enter your prompt...",
@@ -63,14 +68,17 @@ Enter a prompt below and generate text with the model.
             )
 
             with gr.Row():
-                generate_btn = gr.Button("Generate", variant="primary")
-                clear_btn = gr.ClearButton([prompt])
+                generate_btn = gr.Button(
+                    "Generate",
+                    variant="primary",
+                )
+
+                clear_btn = gr.Button("Clear")
 
-        with gr.Column(scale=2):
+        with gr.Column(scale=1):
             output = gr.Textbox(
                 label="Generated text",
                 lines=14,
-                show_copy_button=True,
             )
 
     with gr.Accordion("Generation settings", open=False):
@@ -81,6 +89,7 @@ Enter a prompt below and generate text with the model.
             step=1,
             label="Max new tokens",
         )
+
         temperature = gr.Slider(
             minimum=0.1,
             maximum=2.0,
@@ -88,6 +97,7 @@ Enter a prompt below and generate text with the model.
             step=0.05,
             label="Temperature",
         )
+
         top_p = gr.Slider(
             minimum=0.1,
             maximum=1.0,
@@ -104,15 +114,35 @@ Enter a prompt below and generate text with the model.
 
     generate_btn.click(
         fn=generate,
-        inputs=[prompt, max_tokens, temperature, top_p],
+        inputs=[
+            prompt,
+            max_tokens,
+            temperature,
+            top_p,
+        ],
         outputs=output,
     )
 
     prompt.submit(
         fn=generate,
-        inputs=[prompt, max_tokens, temperature, top_p],
+        inputs=[
+            prompt,
+            max_tokens,
+            temperature,
+            top_p,
+        ],
         outputs=output,
     )
 
+    clear_btn.click(
+        fn=lambda: ("", ""),
+        inputs=None,
+        outputs=[prompt, output],
+    )
+
+
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(
+        theme=gr.themes.Soft(),
+    )
+```