textdetectorai / app.py
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Update app.py
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import gradio as gr
from transformers import pipeline
clf = pipeline("text-classification", model="MayZhou/e5-small-lora-ai-generated-detector")
with gr.Blocks() as demo:
@gr.api()
def detect_ai(text: str):
result = clf(text)[0]
label = result['label']
score = round(result['score'] * 100, 2)
return f"{label} ({score}%)"
demo.launch(show_api=True)