import gradio as gr
import os
from PIL import Image
import random

data_folder = "data/"  # Pre-existing images
existing_images = [os.path.join(data_folder, img) for img in os.listdir(data_folder) if img.endswith(('png', 'jpg', 'jpeg'))]

def process_image(image_option, uploaded_image):
    """
    Process the selected image (either uploaded or from data folder)
    """
    if image_option == "Upload My Image" and uploaded_image is not None:
        img = uploaded_image
        msg = "Uploaded image processed!"
    else:
        img_path = random.choice(existing_images)  # Pick a random existing image
        img = Image.open(img_path)
        msg = f"Using pre-existing image: {img_path}"
    
    return img, msg

with gr.Blocks() as demo:
    gr.Markdown("## Face Recognition Test Run")
    
    image_option = gr.Radio(["Upload My Image", "Use Sample Image"], label="Select an Option")
    uploaded_image = gr.Image(label="Upload Image (if selected)", type="pil", interactive=True)
    
    submit = gr.Button("Process Image")
    output_image = gr.Image(label="Processed Image")
    status = gr.Textbox(label="Status")
    
    submit.click(process_image, inputs=[image_option, uploaded_image], outputs=[output_image, status])
    
if __name__ == "__main__":
    demo.launch()