update the example images

app.py

@@ -18,8 +18,8 @@ def sashimiIentifer(input_imgFilePath):
     (pred,idx,probs) = learner.predict(input_imgFilePath)
     return dict(zip(categories, map(float, probs)))
   
-img_examples1 = ["Hotate_Scallops.jpg", "Ahi_YellowfinAndBigeyeTuna_Sashimi.jpg"]
-img_examples2 = [ "dalle_EngawaAndHotate.png"]
+img_examples1 = ["Hotate_Scallops.jpg", "Ahi_YellowfinAndBigeyeTuna_Sashimi.jpg", "ahi(yellowfin).jpg", "bluefin.jpg", "ika(squid) sashimi.jpeg", "katsuo.jpg", "Katsuo(Bonito_Skipjack Tuna).jpg", "Maguro(Bluefin Tuna).jpg", "redsnapper.jpg", "saba.jpg", "sake.jpg", "squid.jpg", "yellowtail.jpg"]
+img_examples2 = [ "dalle_EngawaAndHotate.png", "dalle_Ika (squid) sashimi.png", "Dalle_Maguro(Bluefin Tuna), Katsuo(Bonito_Skipjack Tuna), Ahi(Yellowfin & Bigeye Tuna).png", "dalle_Saba.png", "Dalle_sakeSashimi.png", "stableDiffusion_sweetShrimpSashimi.jpg"]
 
 demo = gr.Blocks()