Update app.py

app.py

@@ -46,10 +46,10 @@ def gradio_predict(image, question, max_tokens):
 examples = [["data/week_01_page_024.png", 'Can you explain the slide?'], 
             ["data/week_03_page_091.png", 'Can you explain the slide?'], 
             ["data/week_01_page_062.png", 'Are the training images labeled?'], 
-            ["data/week_05_page_027.png", 'What is meant by eigenvalue multiplicity?']],
+            ["data/week_05_page_027.png", 'What is meant by eigenvalue multiplicity?'],
             ["data/week_05_page_030.png", 'What does K represent?'], 
             ["data/week_15_page_046.png", 'How are individual heterogeneous models trained?'], 
-            ["data/week_15_page_021.png", 'How does Bagging affect error?']],
+            ["data/week_15_page_021.png", 'How does Bagging affect error?'],
             ["data/week_15_page_037.png", 'What does the '+' and '-' represent?']]
 
 # Define the Gradio interface