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import gradio as gr
from transformers import pipeline
clf = pipeline("text-classification", model="MayZhou/e5-small-lora-ai-generated-detector")
@gr.api() # 👈 this enables the /run/predict route!
def detect_ai(text: str):
result = clf(text)[0]
label = result['label']
score = round(result['score'] * 100, 2)
return f"{label} ({score}%)"
demo = gr.Interface(fn=detect_ai, inputs="textbox", outputs="text", title="AI Text Detector")
demo.launch()
# Load the model
clf = pipeline("text-classification", model="MayZhou/e5-small-lora-ai-generated-detector")
# Define detection function
def detect_ai(text):
result = clf(text)[0]
label = result['label']
score = round(result['score'] * 100, 2)
return f"{label} ({score}%)"
# Build the interface
demo = gr.Interface(
fn=detect_ai,
inputs="textbox",
outputs="text",
title="AI Text Detector"
)
# Launch the app
demo.launch()
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