app.py

import gradio as gr
import os

# Function to execute the anime upscaler command
def execute_upscaler(input_video, output_path, save_intermediate, async_mode):
    # Determine the path to the model file in the same directory
    script_directory = os.path.dirname(os.path.realpath(__file__))
    model_path = os.path.join(script_directory, "RealESRGAN_x4plus_anime_6B.pth")

    # Build the command
    command = [
        "python3",
        "anime_upscaler.py",
        "-m", model_path,
        "-i", input_video.name,
        "-o", output_path
    ]

    # Add optional flags
    if save_intermediate:
        command.append("-s")
    if async_mode:
        command.append("-a")

    # Execute the command
    import subprocess
    result = subprocess.run(command, capture_output=True, text=True)

    # Return the output of the command
    return result.stdout

# Define the Gradio interface
iface = gr.Interface(
    fn=execute_upscaler,
    inputs=[
        gr.File("input_video", label="Input Video"),
        gr.File("output_path", label="Output Path"),
        gr.Checkbox("Save Intermediate", default=False),
        gr.Checkbox("Async Mode", default=False),
    ],
    outputs="text",
    live=True,
    capture_session=True
)

# Launch the Gradio interface
iface.launch()