import gradio as gr
from transformers import pipeline

classifier = pipeline("text_classification", model="Prakhar618/Gptdetect")


def predict(text):
    # Convert test dataframe to Hugging Face dataset
    test_dataset = Dataset.from_pandas(text)

    # Apply the tokenization function to the train dataset
    train_dataset = test_dataset.map(tokenize_function, batched=True,)
    predictions, label_probs, _ = trainer.predict(train_dataset1)
    y_pred = np.argmax(predictions, axis=1)
    return y_pred

iface = gr.Interface(fn=predict, inputs="text", outputs="text")
iface.launch()