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Update main.py
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main.py
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import
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from dotenv import load_dotenv
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from transformers import TFBertForSequenceClassification, BertTokenizerFast
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import tensorflow as tf
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def load_model(model_name):
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# Load the TensorFlow model from Hugging Face Hub
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model = TFBertForSequenceClassification.from_pretrained(model_name, use_auth_token=os.getenv('API_KEY'))
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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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inputs = tokenizer(text, return_tensors="tf")
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outputs = model(**inputs)
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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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model = load_model(model_name)
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tokenizer = load_tokenizer(model_name)
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# Example usage
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text = "Sample input text"
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result = predict(text, model, tokenizer)
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print(result)
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if __name__ == "__main__":
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main()
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from app import app
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if __name__ == '__main__':
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app.run(debug=True)
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