app.py

import gradio as gr
from transformers import pipeline

model = pipeline("image-classification", model="Ateeqq/ai-vs-human-image-detector")

def check_image(image):
    results = model(image)
    label = results[0]["label"]
    confidence = round(results[0]["score"] * 100, 2)
    return {"prediction": label, "confidence": confidence}

with gr.Blocks() as demo:
    gr.Markdown("# Reality - AI Image Detector")

    image_input = gr.Image(type="pil", label="Upload Image")
    output_json = gr.JSON(label="Result")

    btn = gr.Button("Check Image")
    btn.click(fn=check_image, inputs=image_input, outputs=output_json, api_name="predict")

demo.launch(server_name="0.0.0.0", server_port=7860, share=True , show_api=True)