update app.py

app.py

@@ -11,9 +11,9 @@ learn = load_learner("export.pkl")
 
 
 def classify_image(img):
-    tst_dl = learn.dls.test_dl(img)
+    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].item(), 0)) + " years old with a BMI of " + str(round(preds[:,1].item(), 1)) + " kg/m^2"
+    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()

flagged/log.csv

@@ -0,0 +1,3 @@
+'img','output','flag','username','timestamp'
+'img/0.jpg','This person is 39.0 years old with a BMI of 28.2 kg/m^2','','','2022-10-17 13:32:51.688838'
+'img/1.jpg','This person is 39.0 years old with a BMI of 28.2 kg/m^2','','','2022-10-17 13:32:53.667449'