Update app.py

app.py

@@ -263,7 +263,7 @@ bach = gr.Interface(
     outputs=gr.Label(num_top_classes=4, label="Bach Tumor Type Prediction"),
     title="Tumor Classification",
     description="""
-    Upload a prostate cancer image to predict the tumor type. Your image must be at 20X magnification, and ideally between 224x224 and 1536x2048 resolution. Do not otherwise modify your image.
+    Upload a breast cancer image to predict the tumor type. Your image must be at 20X magnification, and ideally between 224x224 and 1536x2048 resolution. Do not otherwise modify your image.
 
     This model uses a custom-trained DinoV2 foundation model for pathology images
     with a linear classifier for tumor classification.
@@ -285,7 +285,7 @@ bracs = gr.Interface(
     outputs=gr.Label(num_top_classes=7, label="Bracs Tumor Type Prediction"),
     title="Tumor Classification",
     description="""
-    Upload a prostate cancer image to predict the tumor type. Your image must be at 40X magnification. Do not otherwise modify your image.
+    Upload a breast cancer image to predict the tumor type. Your image must be at 40X magnification. Do not otherwise modify your image.
 
     This model uses a custom-trained DinoV2 foundation model for pathology images with a linear classifier for tumor classification.