Made model and data private

app.py

@@ -1,9 +1,12 @@
+import os
 import gradio as gr
 from transformers import AutoTokenizer, TFAutoModelForSequenceClassification
 
+HF_TOKEN = os.environ.get('HF_TOKEN')
+
 model_checkpoint = "besijar/dspa_review_classification"
-tokeniser = AutoTokenizer.from_pretrained(model_checkpoint)
-model = TFAutoModelForSequenceClassification.from_pretrained(model_checkpoint)
+tokeniser = AutoTokenizer.from_pretrained(model_checkpoint, use_auth_token=True)
+model = TFAutoModelForSequenceClassification.from_pretrained(model_checkpoint, use_auth_token=True)
 
 example_review = "Tully's House Blend is the perfect K-Cup for me.  Sure, I occasionally enjoy the special flavors.....Mocha, Italian roast, French vanilla, but my favorite 'go-to'coffee is House Blend. Wakes me up in the morning with it's coffee house full hearty taste."
 

requirements.txt

@@ -1,2 +1,3 @@
+python-dotenv
 transformers
 tensorflow