Update app.py

app.py

@@ -15,14 +15,8 @@ def gradio_app(image_path):
     return out_img
 
 
-title = "Seamore"
-description = "----eyes in the sea----" \
-              "seamore is trained on 691 classes using 33,667 localized images from " \
-              "MBARI’s Video Annotation and Reference System (VARS). " \
-              "We used the PyTorch " \
-              "framework and the yolov5 ‘YOLOv5x’ pretrained checkpoint to " \
-              "train for 28 epochs with a batch size of 18 and image size of " \
-              "."
+#title = "Seamore"
+#description = "----eyes in the sea----"
 
 examples = glob.glob("images/*.png")