🎨 format

Signed-off-by: peter szemraj <peterszemraj@gmail.com>

app.py

@@ -197,7 +197,9 @@ def load_uploaded_file(file_obj, max_pages=20):
 
 if __name__ == "__main__":
     logging.info("Starting app instance")
-    os.environ["TOKENIZERS_PARALLELISM"] = "false" # parallelism on tokenizers is buggy with gradio
+    os.environ[
+        "TOKENIZERS_PARALLELISM"
+    ] = "false"  # parallelism on tokenizers is buggy with gradio
     logging.info("Loading summ models")
     with contextlib.redirect_stdout(None):
         model, tokenizer = load_model_and_tokenizer(
@@ -231,18 +233,20 @@ if __name__ == "__main__":
             gr.Markdown(
                 "Enter text below in the text area. The text will be summarized [using the selected parameters](https://huggingface.co/blog/how-to-generate). Optionally load an example below or upload a file. (`.txt` or `.pdf` - _[link to guide](https://i.imgur.com/c6Cs9ly.png)_)"
             )
-            with gr.Row(variant='compact'):
-                with gr.Column(scale=0.5, variant='compact'):
+            with gr.Row(variant="compact"):
+                with gr.Column(scale=0.5, variant="compact"):
 
                     model_size = gr.Radio(
-                        choices=["LongT5-base", "Pegasus-X-large"], label="Model Variant", value="LongT5-base"
+                        choices=["LongT5-base", "Pegasus-X-large"],
+                        label="Model Variant",
+                        value="LongT5-base",
                     )
                     num_beams = gr.Radio(
                         choices=[2, 3, 4],
                         label="Beam Search: # of Beams",
                         value=2,
                     )
-                with gr.Column(variant='compact'):
+                with gr.Column(variant="compact"):
                     example_name = gr.Dropdown(
                         _examples,
                         label="Examples",
@@ -290,7 +294,7 @@ if __name__ == "__main__":
         gr.Markdown("---")
         with gr.Column():
             gr.Markdown("### Advanced Settings")
-            with gr.Row(variant='compact'):
+            with gr.Row(variant="compact"):
                 length_penalty = gr.inputs.Slider(
                     minimum=0.5,
                     maximum=1.0,
@@ -304,7 +308,7 @@ if __name__ == "__main__":
                     value=1024,
                 )
 
-            with gr.Row(variant='compact'):
+            with gr.Row(variant="compact"):
                 repetition_penalty = gr.inputs.Slider(
                     minimum=1.0,
                     maximum=5.0,