Update app.py

app.py

@@ -23,6 +23,8 @@ 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")
     X = np.array(tk.texts_to_sequences([_+(120-len(_))*" " for _ in x]))
     pred = model.predict(X)[0]
     aux = np.argsort(pred)[::-1][:5]
@@ -31,7 +33,7 @@ def PredictNCM(txt):
 
 demo = gr.Interface(fn=PredictNCM, outputs=[components.Label(label="NCMs"), components.Textbox(label="Descrição do NCM")], title='AFRAC NOTA CERTA', 
                     inputs=components.Textbox(label="DESCRIÇÃO"),
-                   examples=["Coca-Cola PET 2l"], allow_flagging="auto")
+                   examples=["Coca-Cola PET 2l"])
 demo.launch()
 #display(demo.launch(share=True))
 #demo.close()