accept up to 2048 words for base

app.py

@@ -59,7 +59,7 @@ def proc_submission(
     st = time.perf_counter()
     history = {}
     clean_text = clean(input_text, lower=False)
-    max_input_length = 1024 if model_size == "base" else max_input_length
+    max_input_length = 2048 if model_size == "base" else max_input_length
     processed = truncate_word_count(clean_text, max_input_length)
 
     if processed["was_truncated"]:
@@ -165,7 +165,7 @@ 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 from the list below or upload a file."
             )
-
+            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)._")
             model_size = gr.Radio(
                 choices=["base", "large"], label="model size", value="large"
             )