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Update app.py
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app.py
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@@ -1,4 +1,6 @@
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import gradio as gr
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# Define a function that takes a text input and returns the result
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def analyze_text(input):
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result = predict_similarity(input)
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return result
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class CustomBertTokenizer(BertTokenizer):
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def __init__(self, *args, **kwargs):
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super(CustomBertTokenizer, self).__init__(*args, **kwargs)
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param_model_name="CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth"
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tokenizer = AutoTokenizer.from_pretrained(param_model_name)
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import gradio as gr
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from transformers import AutoModelForSequenceClassification, AutoTokenizer
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# Define a function that takes a text input and returns the result
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def analyze_text(input):
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result = predict_similarity(input)
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return result
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param_model_name="CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth"
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tokenizer = AutoTokenizer.from_pretrained(param_model_name)
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