Code

import os
import tkinter as tk
from tkinter import filedialog, messagebox, ttk
from PIL import Image, ImageTk
from pydub import AudioSegment
import torch
from torchvision import transforms
from concurrent.futures import ThreadPoolExecutor
import configparser
import cv2

# Placeholder functions for video processing with different AI models
def esrgan_upscale(image):
    # Replace with actual ESRGAN upscaling logic
    # Example using torchvision.transforms.functional
    image_tensor = transforms.ToTensor()(image)
    enhanced_tensor = torch.nn.functional.interpolate(image_tensor.unsqueeze(0), scale_factor=2, mode="bicubic")
    enhanced_image = transforms.ToPILImage()(enhanced_tensor.squeeze(0))
    return enhanced_image

def another_upscale_algorithm(image):
    # Replace with another upscaling algorithm logic
    pass

def yet_another_upscale_algorithm(image):
    # Replace with another upscaling algorithm logic
    pass

def final_upscale_algorithm(image):
    # Replace with another upscaling algorithm logic
    pass

# Additional open-source upscaling algorithms
def waifu2x_upscale(image):
    # Replace with actual waifu2x upscaling logic
    pass

def deepart_upscale(image):
    # Replace with actual deepart upscaling logic
    pass

def srresnet_upscale(image):
    # Replace with actual SRResNet upscaling logic
    pass

def espcn_upscale(image):
    # Replace with actual ESPCN upscaling logic
    pass

class VideoEnhancementTool:
    def __init__(self, master):
        master.title("Agro's Upscale Magic")

        # Variables for file paths and enhancement options
        self.video_file_path = tk.StringVar()
        self.audio_file_path = tk.StringVar()
        self.output_video_path = tk.StringVar()
        self.selected_upscale_algorithm = tk.StringVar(value="esrgan")  # Default algorithm
        self.enable_async_processing = tk.BooleanVar(value=False)  # Asynchronous processing option
        self.output_video_format = tk.StringVar(value=".mp4")  # Default output format

        # Additional variables for configuration file
        self.config_file_path = "config.ini"

        # Set up GUI components
        self.setup_gui(master)

    def setup_gui(self, master):
        # Title
        self.title_label = tk.Label(master, text="Agro's Upscale Magic", font=("Arial", 24, "bold"), fg="#0a74da")
        self.title_label.grid(row=0, column=0, columnspan=3, pady=10)

        # File selection
        self.video_label = tk.Label(master, text="Select Video File:")
        self.video_entry = tk.Entry(master, textvariable=self.video_file_path, state="readonly", width=30)
        self.video_browse_button = tk.Button(master, text="Browse", command=self.browse_video_file)
        self.video_label.grid(row=1, column=0, pady=5, sticky="e")
        self.video_entry.grid(row=1, column=1, pady=5)
        self.video_browse_button.grid(row=1, column=2, pady=5)

        # Enhancement options
        self.algo_label = tk.Label(master, text="Select Upscaling Algorithm:")
        self.algo_dropdown = ttk.Combobox(master, textvariable=self.selected_upscale_algorithm, values=["esrgan", "another", "yet_another", "final", "waifu2x", "deepart", "srresnet", "espcn"])
        self.algo_label.grid(row=2, column=0, pady=5, sticky="e")
        self.algo_dropdown.grid(row=2, column=1, pady=5)

        self.async_checkbox = tk.Checkbutton(master, text="Enable Asynchronous Processing", variable=self.enable_async_processing)
        self.async_checkbox.grid(row=3, column=0, pady=5, columnspan=2, sticky="w")

        # Output format selection
        self.format_label = tk.Label(master, text="Output Video Format:")
        self.format_dropdown = ttk.Combobox(master, textvariable=self.output_video_format, values=[".mp4", ".avi", ".mkv"])
        self.format_label.grid(row=3, column=0, pady=5, sticky="e")
        self.format_dropdown.grid(row=3, column=1, pady=5)

        # Process button
        self.process_button = tk.Button(master, text="Enhance Video", command=self.process_video)
        self.process_button.grid(row=4, column=0, columnspan=3, pady=10)

    def browse_video_file(self):
        file_path = filedialog.askopenfilename(filetypes=[("Video Files", "*.mp4;*.avi;*.mkv")])
        if file_path:
            self.video_file_path.setself.video_file_path.set(file_path)
            self.update_video_preview()

    def update_video_preview(self):
        # Placeholder for updating the video preview based on selected options
        pass

    def save_configuration(self):
        # Save current configuration to the configuration file
        config = configparser.ConfigParser()
        config['SETTINGS'] = {
            'Algorithm': self.selected_upscale_algorithm.get(),
            'AsyncProcessing': str(self.enable_async_processing.get()),
            'OutputFormat': self.output_video_format.get()
        }
        with open(self.config_file_path, 'w') as configfile:
            config.write(configfile)

    def load_configuration(self):
        # Load configuration from the configuration file
        config = configparser.ConfigParser()
        config.read(self.config_file_path)
        if 'SETTINGS' in config:
            settings = config['SETTINGS']
            self.selected_upscale_algorithm.set(settings.get('Algorithm', 'esrgan'))
            self.enable_async_processing.set(settings.getboolean('AsyncProcessing', False))
            self.output_video_format.set(settings.get('OutputFormat', '.mp4'))

    def process_video(self):
        try:
            video_path = self.video_file_path.get()
            audio_path = self.audio_file_path.get()
            output_path = self.output_video_path.get()
            algorithm = self.selected_upscale_algorithm.get()

            # Placeholder for actual video processing logic
            frames = video_to_frames(video_path)

            # Selecting the appropriate upscaling algorithm
            upscale_function = {
                "esrgan": esrgan_upscale,
                "another": another_upscale_algorithm,
                "yet_another": yet_another_upscale_algorithm,
                "final": final_upscale_algorithm,
                "waifu2x": waifu2x_upscale,
                "deepart": deepart_upscale,
                "srresnet": srresnet_upscale,
                "espcn": espcn_upscale
            }.get(algorithm, esrgan_upscale)

            # Asynchronous processing
            if self.enable_async_processing:
                with ThreadPoolExecutor() as executor:
                    enhanced_frames = list(executor.map(upscale_function, frames))
            else:
                enhanced_frames = list(map(upscale_function, frames))

            # Recombine frames and audio
            self.recombine_frames_and_audio(enhanced_frames, audio_path, output_path)
            self.save_configuration()

            messagebox.showinfo("Enhancement Complete", "Video enhancement completed successfully!")

        except Exception as e:
            messagebox.showerror("Error", f"An error occurred: {str(e)}")

    def recombine_frames_and_audio(self, enhanced_frames, audio_path, output_path):
        # Placeholder for recombining frames and audio logic
        # Example using OpenCV for frames and PyDub for audio
        fourcc = cv2.VideoWriter_fourcc(*'mp4v')
        video_writer = cv2.VideoWriter(output_path, fourcc, 30.0, (enhanced_frames[0].width, enhanced_frames[0].height))

        for frame in enhanced_frames:
            video_writer.write(cv2.cvtColor(np.array(frame), cv2.COLOR_RGB2BGR))
        video_writer.release()

        audio = AudioSegment.from_file(audio_path)
        audio.export(output_path, format=output_path.split('.')[-1])

def video_to_frames(video_path):
    # Placeholder for converting video to frames logic
    # Example using OpenCV
    cap = cv2.VideoCapture(video_path)
    frames = []

    while cap.isOpened():
        ret, frame = cap.read()
        if not ret:
            break

        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        pil_frame = Image.fromarray(frame)
        frames.append(pil_frame)

    cap.release()
    return frames

def main():
    root = tk.Tk()
    app = VideoEnhancementTool(root)
    root.mainloop()

if __name__ == "__main__":
    main()