Update app.py

app.py

@@ -113,7 +113,7 @@ gr.Interface(
     with a pixel resolution of 50 cm. The total size of the total area of the dataset is equivalent to 10716.9 square kilometers.
     
     This deep learning project was conducted while I collaborated with the Omdena Team on Seagrass detection challenge in 2024, 
-    I trained on 803 images and their segmentation masks (with split of 80/20%). For the multilabel segmentation task, we trained 4 models,
+    I trained on 803 images and their segmentation masks (with split of 80/20%). For this multilabel segmentation task, we trained 4 models,
     the basic 4-blocks U-net CNN, VGG16 U-Net, Resnet50 U-net and Efficient Net U-net. Then, I built an ensemble model that achieved a 
     validation accuracy of about 75% and dice score of about 0.6.
     ''',