ajust app

app.py

@@ -6,7 +6,7 @@ warnings.simplefilter("ignore", category=UserWarning)
 learn = load_learner('model.pkl')
 warnings.resetwarnings()
 
-categories = ('Ensolarado', 'Chuvoso')
+categories = ('Orca', 'Estrela do mar')
 
 def classify_image(img):
     _, _, probs = learn.predict(img)
@@ -15,7 +15,7 @@ def classify_image(img):
 image = gr.Image()
 label = gr.Label()
 
-examples = ['sunny_sky.jpg', 'rainy_sky.jpg']
+examples = ['k_whale.jpg', 'starfish.jpg']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 intf.launch(inline=False)