app.py

import gradio as gr
from inference import predict_image, predict_video

with gr.Blocks() as demo:
    gr.Markdown("# 🎭 Deepfake Detection ")


    with gr.Tabs():
        with gr.TabItem("Image"):
            img_input = gr.Image(type="pil")
            img_btn = gr.Button("Analyze Image")
            img_output = gr.Text(label="Prediction")
            img_cam = gr.Image(label="Grad-CAM")

            img_btn.click(fn=predict_image, inputs=img_input, outputs=[img_output, img_cam])

        with gr.TabItem("Video"):
            vid_input = gr.Video()
            vid_btn = gr.Button("Analyze Video")
            vid_output = gr.Text(label="Final Prediction")
            vid_gallery = gr.Gallery(label="Grad-CAM Frames", columns=4, height="auto")
            vid_chart = gr.Image(label="Per-frame Confidence Chart")

            vid_btn.click(
                fn=predict_video,
                inputs=vid_input,
                outputs=[vid_output, vid_gallery, vid_chart]
            )

demo.launch(share=True)