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| # Load model directly | |
| import gradio as gr | |
| from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline | |
| tokenizer = AutoTokenizer.from_pretrained("j5ng/kcbert-formal-classifier") | |
| model = AutoModelForSequenceClassification.from_pretrained("j5ng/kcbert-formal-classifier") | |
| formal_classifier = pipeline(task="text-classification", model=model, tokenizer=tokenizer) | |
| def greet(name): | |
| return formal_classifier(name) | |
| print("test") | |
| iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| iface.launch() |