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| import gradio as gr | |
| from transformers import pipeline | |
| clf = pipeline("text-classification", model="AjayPlus/propaganda-detector-v2") | |
| def predict(text): | |
| return clf(text) | |
| with gr.Blocks() as demo: | |
| with gr.Row(): | |
| input_text = gr.Textbox(label="Enter a sentence") | |
| output_json = gr.JSON(label="Prediction") | |
| input_text.submit(predict, input_text, output_json) | |
| demo.queue() | |
| demo.launch(show_api=True) | |