Update app.py

app.py

@@ -50,7 +50,7 @@ interfaces.append(gr.Interface.from_pipeline(p, outputs=gr.outputs.Label(label='
 gr.mix.Parallel(*interfaces, 
     title="Comparison of XLMR Longformer Models", 
     inputs=gr.inputs.Textbox(lines=5, placeholder="Choose an example below, or add your own text with a single masked word, using <mask>."),
-    description="Compares performance of four models: AshtonIsNotHere'smarkussagen's xlm-r longformer, markussagen's xlm-r longformer-base, xlm-r base, and Longformer-base. \
+    description="Compares performance of four models: AshtonIsNotHere's xlm-r longformer, markussagen's xlm-r longformer-base, xlm-r base, and Longformer-base. \
     Notice that with the small sequences, Maskussagen XLM-R model and AshtonIsNotHere's XLM-R model perform identically. Note that, however with large \
     sequence length examples, Markussagen's model fails to return meaningful predictions. Disclaimer: xlm-r base truncates sequences longer than 512 tokens.",
     examples=["They analyzed the <mask>, and Payne’s own, and found structure and repetition in the sounds, documenting a sonic hierarchy: units, phrases, and themes, which combined into what they called song.",