Update app.py

app.py

@@ -46,7 +46,7 @@ def predict(path):
     ort_inputs = {session.get_inputs()[0].name: img}
     preds = session.run(None, ort_inputs)[0]
     preds = np.squeeze(preds)
-    a = np.argsort(preds)[::1]
+    a = np.argsort(preds)
     results = {}
     for i in a[0:5]:    
         results[labels[a[i]]] = float(preds[a[i]])