disable cacheing

app.py

@@ -126,9 +126,9 @@ def load_examples(examples_dir="examples"):
 if __name__ == "__main__":
 
     model, tokenizer = load_model_and_tokenizer("pszemraj/led-large-book-summary")
-    title = "Long-form text summarization with LED on the BookSumm dataset"
+    title = "Long-form Summarization: LED & BookSum"
     description = (
-        "This is a simple example of using the LED model to summarize a long-form text."
+        "This is a simple example of using the LED model to summarize a long-form text. This model is a fine-tuned version of [allenai/led-large-16384](https://huggingface.co/allenai/led-large-16384) on the booksum dataset. the goal was to create a model that can generalize well and is useful in summarizing lots of text in academic and daily usage."
     )
 
     gr.Interface(
@@ -160,4 +160,5 @@ if __name__ == "__main__":
         title=title,
         description=description,
         examples=load_examples(),
+        cache_examples=False,
     ).launch(enable_queue=True, share=True)