Update app.py

app.py

@@ -5,8 +5,8 @@ from transformers import pipeline, AutoTokenizer, AutoModel
 
 #pipe = pipeline("text-generation", model="furquan/opt_2_7_b_prompt_tuned_sentiment_analysis", trust_remote_code=True, cache_dir="/local/home/furquanh/myProjects/week12/").to('cuda')
 
-tokenizer = AutoTokenizer.from_pretrained("furquan/opt_2_7_b_prompt_tuned_sentiment_analysis",cache_dir="/local/home/furquanh/myProjects/week12/", trust_remote_code=True)
-model = AutoModel.from_pretrained("furquan/opt_2_7_b_prompt_tuned_sentiment_analysis",cache_dir="/local/home/furquanh/myProjects/week12/", trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("furquan/opt_2_7_b_prompt_tuned_sentiment_analysis", trust_remote_code=True)
+model = AutoModel.from_pretrained("furquan/opt_2_7_b_prompt_tuned_sentiment_analysis",trust_remote_code=True)
 
 title = "OPT-2.7B"
 description = "This demo uses meta's opt-2.7b model prompt tuned on the Stanford Sentiment Treebank-5 way dataset to only output the sentiment of a given text."