app.py

import gradio as gr
import subprocess

def deblur_image(input_image_path, angle_model_path, length_model_path):
    command = [
        "python",
        "deblur_img.py",
        "--image",
        input_image_path,
        "--angle_model",
        angle_model_path,
        "--length_model",
        length_model_path
    ]
    result = subprocess.run(command, capture_output=True, text=True)
    return result.stdout

def deblur_and_display(input_image, angle_model_path, length_model_path):
    output = deblur_image(input_image.name, angle_model_path, length_model_path)
    return output

iface = gr.Interface(
    fn=deblur_and_display,
    inputs=[
        gr.inputs.Image(label="Upload Image"),
        gr.inputs.Textbox(label="Angle Model Path", default="/app/pretrained_models/angle_model.hdf5"),
        gr.inputs.Textbox(label="Length Model Path", default="/app/pretrained_models/length_model.hdf5")
    ],
    outputs="text",
    title="Image Deblurring App",
    description="Upload an image to deblur it."
)

if __name__ == "__main__":
    iface.launch()