Upload app.py

app.py

@@ -80,7 +80,7 @@ def fn(glycan, model):
     pred = np.exp(pred)/sum(np.exp(pred)) # Softmax 
     pred = [float(x) for x in pred]
     pred = {class_list[i]:pred[i] for i in range(15)}
-    return pred, "graph.png"
+    return "graph.png", pred
 
 
 demo = gr.Interface(