Delete app.py

app.py

@@ -1,14 +0,0 @@
-from transformers import BertTokenizer, TFBertForSequenceClassification
-from tensorflow.keras.optimizers import Adam
-from tensorflow.keras.losses import SparseCategoricalCrossentropy
-
-# Load pre-trained BERT model and tokenizer
-tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
-model = TFBertForSequenceClassification.from_pretrained('bert-base-uncased')
-
-# Tokenize sample text
-inputs = tokenizer("Hello, this is a sentiment analysis example.", return_tensors="tf")
-
-# Fine-tuning BERT model
-model.compile(optimizer=Adam(learning_rate=3e-5), loss=SparseCategoricalCrossentropy(from_logits=True))
-model.fit(inputs['input_ids'], [1], epochs=1)  # Dummy training example