Update app.py

app.py

@@ -1,2 +1,9 @@
 import pkg_resources
-from transformers import pipeline
+from transformers import pipeline
+import gradio as gr
+
+translator = pipeline("translation", model="Helsinki-NLP/opus-mt-is-en")
+sentiment_classifier = pipeline("text-classification", model="Birkir/electra-base-igc-is-sentiment-analysis")
+formality_classifier = pipeline("text-classification", model="svanhvit/formality-classification-icebert")
+detoxify_pipeline = pipeline('text-classification', model='unitary/toxic-bert', tokenizer='bert-base-uncased', function_to_apply='sigmoid', return_all_scores=True)
+politeness_classifier = pipeline("text-classification", model="Genius1237/xlm-roberta-large-tydip")