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Update app.py
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app.py
CHANGED
@@ -3,15 +3,15 @@ from transformers import TFBertForSequenceClassification, BertTokenizerFast
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def load_model(model_name):
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try:
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# Load TensorFlow model
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model = TFBertForSequenceClassification.from_pretrained(model_name, use_auth_token=
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except OSError:
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# Fallback to PyTorch model if TensorFlow fails
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model = TFBertForSequenceClassification.from_pretrained(model_name, use_auth_token=
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return model
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def load_tokenizer(model_name):
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tokenizer = BertTokenizerFast.from_pretrained(model_name, use_auth_token=
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return tokenizer
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def predict(text, model, tokenizer):
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@@ -20,8 +20,9 @@ def predict(text, model, tokenizer):
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return outputs
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def main():
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model_name
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model = load_model(model_name)
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tokenizer = load_tokenizer(model_name)
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def load_model(model_name):
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try:
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# Load TensorFlow model from Hugging Face
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model = TFBertForSequenceClassification.from_pretrained(model_name, use_auth_token=os.getenv('API_KEY'))
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except OSError:
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# Fallback to PyTorch model if TensorFlow fails
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model = TFBertForSequenceClassification.from_pretrained(model_name, use_auth_token=os.getenv('API_KEY'), from_pt=True)
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return model
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def load_tokenizer(model_name):
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tokenizer = BertTokenizerFast.from_pretrained(model_name, use_auth_token=os.getenv('API_KEY'))
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return tokenizer
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def predict(text, model, tokenizer):
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return outputs
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def main():
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model_name = os.getenv('MODEL_PATH')
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if model_name is None:
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raise ValueError("MODEL_PATH environment variable not set or is None")
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model = load_model(model_name)
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tokenizer = load_tokenizer(model_name)
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