change title

app.py

@@ -167,7 +167,7 @@ tedious and costly process, it is tempting to leverage the huge amount of
 image data collected by the whale-watching community and private encounters around 
 the globe. Organizations like [WildMe](www.wildme.org) or 
 [happywhale](www.happywhale.com) develop AI models for automated identification at
-scale. To push the state-of-the-art, Happywhale hosted two competitions on kaggle, 
+scale. To push the state-of-the-art, happywhale hosted two competitions on kaggle, 
 the 2018 [Humpback Whale Identification](https://www.kaggle.com/c/humpback-whale-identification) 
 and the 2022 [Happywhale](https://www.kaggle.com/competitions/happy-whale-and-dolphin) 
 competition, which included 28 marine whale and dolphin species.
@@ -188,7 +188,7 @@ article = """
 
 demo = gr.Interface(fn=pred_fn, inputs="image", outputs=["image", "text"],
                     examples=examples,
-                    title='Happywhale: Individual Identification for Maritime Animals',
+                    title='Happywhale: Individual Identification for Marine Mammals',
                     description=description,
                     article=None,)
 demo.launch()