Update app.py

app.py

@@ -10,6 +10,11 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipe
 import tensorflow as tf
 tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
 
+# LICESNE.tensorflow - https://github.com/tensorflow/tensorflow/blob/master/LICENSE
+# LICENSE.Roberta -https://github.com/cardiffnlp/xlm-t/blob/main/LICENSE
+# LICENSE.streamlit - https://github.com/streamlit/streamlit/blob/develop/LICENSE
+# LICENSE.tranformers - https://github.com/huggingface/huggingface_hub/blob/main/LICENSE
+
 # Load pre-trained model and tokenizer
 saved_directory = "orYx-models/finetuned-roberta-leadership-sentiment-analysis"
 tokenizer = AutoTokenizer.from_pretrained(saved_directory)