Update app.py

app.py

@@ -35,13 +35,16 @@ else:
     result = model.predict(keras.preprocessing.sequence.pad_sequences(tokenizer.texts_to_sequences([question]),
                                             truncating='post', maxlen=max_len))
 
+    
     idk = ['عذراً، لا يمكنني الإجابة عن السؤال المطروح', 'عذراً، لم أفهم سؤالك']
+    
     if result[0][np.argmax(result)] < 0.65:     # if perplexity is high
         st.write(np.random.choice(idk))
-    
-    tag = lbl_encoder.inverse_transform([np.argmax(result)])
-        
-    for i in data['intents']:
-        if i['tag'] == tag:
-            out = np.random.choice(i['responses'])
-            st.write(out)
+
+    else:
+        tag = lbl_encoder.inverse_transform([np.argmax(result)])
+            
+        for i in data['intents']:
+            if i['tag'] == tag:
+                out = np.random.choice(i['responses'])
+                st.write(out)