Update app.py

app.py

@@ -4,6 +4,11 @@ import tensorflow as tf
 tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
 from transformers import XLMRobertaTokenizer, AutoModelForSequenceClassification, pipeline
 
+# LICESNE.tensorflow - https://github.com/tensorflow/tensorflow/blob/master/LICENSE
+# LICENSE.streamlit - https://github.com/streamlit/streamlit/blob/develop/LICENSE
+# LICENSE.tranformers - https://github.com/huggingface/huggingface_hub/blob/main/LICENSE
+# LICENSE.Roberta -https://github.com/cardiffnlp/xlm-t/blob/main/LICENSE
+
 # Load tokenizer and model
 tokenizer = XLMRobertaTokenizer.from_pretrained("cardiffnlp/twitter-xlm-roberta-base-sentiment")
 model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/twitter-xlm-roberta-base-sentiment")