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Update app.py
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app.py
CHANGED
@@ -3,13 +3,12 @@ import torch
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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# Load the trained model and tokenizer
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model_path = 'viv/AIKIA'
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tokenizer = AutoTokenizer.from_pretrained("nlpaueb/bert-base-greek-uncased-v1")
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model = AutoModelForSequenceClassification.from_pretrained(model_path)
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# Preprocessing function for Greek text
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def preprocessing_greek(text):
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# Your preprocessing steps
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text = text.lower() # Example step
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return text
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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# Load the trained model and tokenizer
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model_path = 'viv/AIKIA' # Make sure this is correct, either local path or Hugging Face path
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tokenizer = AutoTokenizer.from_pretrained("nlpaueb/bert-base-greek-uncased-v1")
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model = AutoModelForSequenceClassification.from_pretrained(model_path)
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# Preprocessing function for Greek text
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def preprocessing_greek(text):
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text = text.lower() # Example step
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return text
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