Update app.py

app.py

@@ -1,6 +1,8 @@
 import gradio as gr
 from huggingface_hub import from_pretrained_keras
-import tensorflow
+from transformers import AutoTokenizer
+
+
 m = from_pretrained_keras('sgonzalezsilot/FakeNews-Detection-Twitter-Thesis')
 
 def bert_encode(tokenizer,data,maximum_length) :
@@ -28,7 +30,7 @@ train_encodings = tokenizer(train_texts, truncation=True, padding=True)
 test_encodings = tokenizer(test_texts, truncation=True, padding=True)
 
 MODEL = "digitalepidemiologylab/covid-twitter-bert-v2"
-tokenizer, roberta_model = getTokenizerAndModel(MODEL, model_normalization=False, from_pt = False, regularization=False)
+tokenizer = AutoTokenizer.from_pretrained(MODEL)
 
 sentence_length = 110
 train_input_ids,train_attention_masks = bert_encode(tokenizer,train_texts,sentence_length)