Update app.py

app.py

@@ -98,7 +98,7 @@ def do_predict(pil_img: PIL.Image.Image):
 EXAMPLES = [
     ["duo_1.jpg"],
     ["duo_2.jpg"],
-    ["no_duo.jpg"],
+    ["no_duo_1.jpg"],
     ["no_duo_2.jpg"]
 ]
 
@@ -108,9 +108,9 @@ with gradio.Blocks() as demo:
     # Provide an introduction
     gradio.Markdown("# Is Duo Here?")
     gradio.Markdown("""
-    This is a simple app that demonstrates how to use an autogluon multimodal
-    predictor in a gradio space to predict the contents of a picture. To use,
-    just upload a photo. The result should be generated automatically.
+    This is an app that demonstrates a binary classifier using SebastianAndreu/2025-24679-HW1-Part2-image-autogluon-predictor model
+    based on the scottymcgee/duo-image-dataset imageset. This performs binary classification of outdoor images to see
+    if the bird from Duolingo is in them. It has an accuracy of 80% based on the model so can have errors. 
     """)
 
     # Interface for the incoming image