Update app.py

app.py

@@ -11,13 +11,13 @@ learn = load_learner("export.pkl")
 
 
 def classify_image(img):
-    tst_dl = learn.dls.test_dl(img, num_workers = 0)
+    tst_dl = learn.dls.test_dl([img], num_workers = 0)
     preds,_ = learn.get_preds(dl=tst_dl)
     result_text = "This person is " + str(round(preds[0][0].item(), 0)) + " years old with a BMI of " + str(round(preds[0][1].item(), 1)) + " kg/m^2"
     return result_text
 
 image = gr.inputs.Image()
-examples = ['A00147.png','A00360.png','angela lansbury.jpg']
+examples = ['A00147.png','A00360.png','A00360.png','A01681.png','R79591.png','R86556.png','Y15554.png']
 title = 'Predict Age and Body Mass Index from a Picture'
 description = 'This app predicts the age and BMI of a person just from their face.'
 article = "Author: <a href=\"https://huggingface.co/archietram\">Archie Tram</a>. "