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Update app.py
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app.py
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@@ -3,11 +3,10 @@ from transformers import AutoModelForSequenceClassification, AutoTokenizer
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import gradio as gr
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# Path to the saved model in Hugging Face Spaces
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# Load the model and tokenizer
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tokenizer = AutoTokenizer.from_pretrained('xlnet-base-cased')
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model = AutoModelForSequenceClassification.from_pretrained(model_path)
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# Function for prediction
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def xl_net_predict(text):
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import gradio as gr
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# Path to the saved model in Hugging Face Spaces
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model_name = 'AliArshad/SeverityPrediction' # Replace with your actual username and model name
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model = AutoModelForSequenceClassification.from_pretrained(model_name)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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# Function for prediction
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def xl_net_predict(text):
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