diff --git a/application/functions/sentiment.py b/application/functions/sentiment.py
index b264b50..1463057 100644
--- a/application/functions/sentiment.py
+++ b/application/functions/sentiment.py
@@ -1,10 +1,13 @@
 from transformers import AutoTokenizer
-from transformers import pipeline
+from transformers import pipeline, GPT2ForSequenceClassification
 import re
 from facebook_scraper import get_posts
 
-model = 'application/models/sentiment_model'
-tokenizer = AutoTokenizer.from_pretrained('application/tokenizers/sentiment_tokenizer')
+# model = 'application/models/sentiment_model'
+# tokenizer = AutoTokenizer.from_pretrained('application/tokenizers/sentiment_tokenizer')
+
+model = GPT2ForSequenceClassification.from_pretrained("Scigi/sentiment-analysis-model", num_labels=3)
+tokenizer = AutoTokenizer.from_pretrained("Scigi/sentiment-analysis-model")
 
 def sentiment_prediction(data):
     pipe = pipeline('text-classification', model=model, tokenizer = tokenizer)