Update app.py

app.py

@@ -23,8 +23,9 @@ tk.word_index = {'UNK': 1, ' ': 2, 'a': 3, 'o': 4, 'e': 5, 'r': 6, 'i': 7, 'c':
 
 def PredictNCM(txt):
     x = [txt.lower() ]
-    with open("log.txt","wt") as f:
-        f.write(txt+"\n")
+
+    print(txt)
+
     X = np.array(tk.texts_to_sequences([_+(120-len(_))*" " for _ in x]))
     pred = model.predict(X)[0]
     aux = np.argsort(pred)[::-1][:5]