Update app.py

app.py

@@ -26,7 +26,7 @@ if choice == 'Text Input':
     input_data = st.text_area("Enter bengali text", value="", height=10)
     if st.button('Process'):
         # '''
-        # data = BasicTokenizer().tokenize(input_data)
+        data = BasicTokenizer().tokenize(input_data)
         
         # fl = open('bengali_pos/test.txt', 'w')
         # for i in data:
@@ -37,10 +37,10 @@ if choice == 'Text Input':
         # columns = {0: 'text'}
         # corpus: Corpus = ColumnCorpus('bengali_pos/', columns, train_file='train.txt', test_file='test.txt', dev_file='valid.txt')
         # '''
-        sentence = Sentence(input_data)
+        sentence = Sentence(data)
         model = load_model('best-model-002.pt')
         model.predict(sentence)
-        st.write(sentence[1])
+        st.write(sentence)
         
         #print(input_data.to_tagged_string())
         #result_mean = model.evaluate(corpus.test, gold_label_type='pos',mini_batch_size=32, out_path=f"pred_pos.txt")