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import gradio as gr | |
from transformers import pipeline | |
def classify_text(text): | |
pipe = pipeline("text-classification", model="meta-llama/Prompt-Guard-86M") | |
result = pipe(text)[0] | |
return {result['label']: result['score']} | |
demo = gr.Interface( | |
fn=classify_text, | |
inputs="text", | |
outputs="label", | |
title="Prompt-Guard-86M Text Classification" | |
) | |
demo.launch(server_name="0.0.0.0", server_port=7860) |