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Create app.py
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app.py
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
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model = AutoModelForSequenceClassification.from_pretrained("bert-base-uncased", num_labels=2)
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def classify_text(text):
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encoded_text = tokenizer(text, truncation=True, padding='max_length', max_length=512, return_tensors='pt')
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predictions = model(**encoded_text)
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predicted_label = predictions.logits.argmax(-1).item()
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predicted_class = model.config.id2label[predicted_label]
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return predicted_class
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interface = gr.Interface(
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fn=classify_text,
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inputs=[gr.Textbox(label="Input Text")],
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outputs=[gr.Textbox(label="Predicted Class")],
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title="Text Classification App"
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)
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interface.launch(share=True)
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