app.py

import gradio as gr
import pipeline  # Keep this if needed for `deepfakes_image_predict`

title = "EfficientNetV2 Deepfakes Image Detector"
description = "EfficientNetV2 Deepfakes Image Detector using frame-by-frame detection."

image_interface = gr.Interface(
    pipeline.deepfakes_image_predict,
    gr.Image(),
    "text",
    cache_examples=False
)

if __name__ == "__main__":
    image_interface.launch(share=False)