File size: 679 Bytes
bb7caf7 24864a9 2a76512 24864a9 bb7caf7 2a76512 24864a9 2a76512 24864a9 2a76512 24864a9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | import spaces
import gradio as gr
from PIL import Image
from transformers import pipeline
# Load the AI image detection model pipeline
detector = pipeline("image-classification", model="capcheck/ai-image-detection")
@spaces.GPU
def analyze_image(image: Image.Image):
# Run prediction on the uploaded image
results = detector(image)
# Format the outputs into a dictionary format for Gradio
return {res["label"]: float(res["score"]) for res in results}
demo = gr.Interface(
fn=analyze_image,
inputs=gr.Image(type="pil"),
outputs=gr.Label(num_top_classes=2),
title="IsRealOrNot Forensic Engine"
)
if __name__ == "__main__":
demo.launch() |