format

app.py

@@ -174,7 +174,9 @@ if __name__ == "__main__":
                     label="num beams",
                     value=2,
                 )
-            gr.Markdown("_The base model is less performant than the large model, but is faster and will accept up to 2048 words per input (Large model accepts up to 768)._")
+            gr.Markdown(
+                "_The base model is less performant than the large model, but is faster and will accept up to 2048 words per input (Large model accepts up to 768)._"
+            )
             with gr.Row():
                 token_batch_length = gr.Radio(
                     choices=[512, 768, 1024],
@@ -182,7 +184,11 @@ if __name__ == "__main__":
                     value=512,
                 )
                 length_penalty = gr.inputs.Slider(
-                    minimum=0.5, maximum=1.0, label="length penalty", default=0.7, step=0.05
+                    minimum=0.5,
+                    maximum=1.0,
+                    label="length penalty",
+                    default=0.7,
+                    step=0.05,
                 )
             with gr.Row():
                 repetition_penalty = gr.inputs.Slider(
@@ -227,9 +233,9 @@ if __name__ == "__main__":
                 "Summary generation should take approximately 1-2 minutes for most settings."
             )
             summarize_button = gr.Button(
-                                "Summarize!",
-                                variant="primary",
-                                )
+                "Summarize!",
+                variant="primary",
+            )
 
             output_text = gr.HTML("<p><em>Output will appear below:</em></p>")
             gr.Markdown("### Summary Output")