Update app.py

app.py

@@ -25,7 +25,7 @@ model = keras.models.load_model('model')
 # parameters
 max_len = 20
 
-question = st.text_area('اسأل سؤال....')
+question = st.text_area('....اسأل سؤال')
 
 result = model.predict(keras.preprocessing.sequence.pad_sequences(tokenizer.texts_to_sequences([question]),
                                         truncating='post', maxlen=max_len))
@@ -35,4 +35,4 @@ tag = lbl_encoder.inverse_transform([np.argmax(result)])
 for i in data['intents']:
     if i['tag'] == tag:
         out = np.random.choice(i['responses'])
-        st.json(out)
+        st.json(json.parse(out))