update app.py

app.py

@@ -2,15 +2,15 @@ from transformers import pipeline
 import gradio as gr
 
 from transformers import AutoTokenizer, AutoModelWithLMHead
-from os import path
+#from os import path
 
-MODEL_DIRECTORY = "/models/mrm8488-t5-base-finetuned-emotion"
+#MODEL_DIRECTORY = "/models/mrm8488-t5-base-finetuned-emotion"
 tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-emotion", use_fast=False)
-if not path.exists(MODEL_DIRECTORY):
-    model = AutoModelWithLMHead.from_pretrained("mrm8488/t5-base-finetuned-emotion")
-    model.save_pretrained(MODEL_DIRECTORY)
-else:
-    model = AutoModelWithLMHead.from_pretrained(MODEL_DIRECTORY)
+#if not path.exists(MODEL_DIRECTORY):
+model = AutoModelWithLMHead.from_pretrained("mrm8488/t5-base-finetuned-emotion")
+#    model.save_pretrained(MODEL_DIRECTORY)
+#else:
+#    model = AutoModelWithLMHead.from_pretrained(MODEL_DIRECTORY)
 
 
 def get_emotion(text):