typo

app.py

@@ -15,7 +15,7 @@ def predict (Word, Sentence, LM, Layer, Norm):
 
     labels = "These are some fake features".split(" ")
     vals = np.random.randint(-10,10,(5))
-    print(model_name+" \n"+"\n".join([labels[i]+" "+str(vals[i]) for i in range(len(labels)) if vals[i]>0]))
+    return model_name+" \n"+"\n".join([labels[i]+" "+str(vals[i]) for i in range(len(labels)) if vals[i]>0])
     # model = FeatureNormPredictor.load_from_checkpoint(
     #     checkpoint_path=model_name+'.ckpt',
     #     map_location=None