format

app.py

@@ -94,7 +94,10 @@ def proc_submission(
         **settings,
     )
     sum_text = [s["summary"][0] for s in _summaries]
-    sum_scores = [f"\n - Section {i}: {round(s['summary_score'],4)}" for i, s in enumerate(_summaries)]
+    sum_scores = [
+        f"\n - Section {i}: {round(s['summary_score'],4)}"
+        for i, s in enumerate(_summaries)
+    ]
 
     history["Summary Text"] = "\n\t".join(sum_text)
     history["Summary Scores"] = "\n".join(sum_scores)
@@ -142,7 +145,9 @@ if __name__ == "__main__":
                 label="input text",
                 placeholder="Enter text to summarize, the text will be cleaned and truncated on Spaces. Narrative, academic (both papers and lecture transcription), and article text work well. May take a bit to generate depending on the input text :)",
             ),
-            gr.inputs.radio(choices=['base', 'large'], label='model size', default='base'),
+            gr.inputs.radio(
+                choices=["base", "large"], label="model size", default="base"
+            ),
             gr.inputs.Slider(
                 minimum=1, maximum=6, label="num_beams", default=4, step=1
             ),
@@ -174,5 +179,4 @@ if __name__ == "__main__":
         article="The model can be used with tag [pszemraj/led-large-book-summary](https://huggingface.co/pszemraj/led-large-book-summary). See the model card for details on usage & a notebook for a tutorial.",
         examples=load_examples(),
         cache_examples=False,
-    ).launch(
-    )
+    ).launch()