app.py

import gradio as gr
import json
import os
import random

class DataManager:
    def __init__(self, characters_file='characters.json', persistent_tags_file='persistent_tags.json', images_folder='character_images'):
        self.characters_file = characters_file
        self.persistent_tags_file = persistent_tags_file
        self.images_folder = images_folder

        # Make sure image folder exists
        if not os.path.exists(images_folder):
            os.makedirs(images_folder)

        self.load_data()
    
    def load_data(self):
        # Load characters
        if os.path.exists(self.characters_file):
            with open(self.characters_file, 'r') as f:
                self.characters = json.load(f)
        else:
            self.characters = []
        
        # Load persistent tags
        if os.path.exists(self.persistent_tags_file):
            with open(self.persistent_tags_file, 'r') as f:
                self.persistent_tags = json.load(f)
        else:
            self.persistent_tags = []

    def save_characters(self):
        with open(self.characters_file, 'w') as f:
            json.dump(self.characters, f)

    def save_persistent_tags(self):
        with open(self.persistent_tags_file, 'w') as f:
            json.dump(self.persistent_tags, f)
    
    def add_character(self, character):
        # Save image to disk and store the filename
        image_data = character['image']  # This is a PIL Image
        image_filename = f"{character['name']}.png"
        image_path = os.path.join(self.images_folder, image_filename)
        image_data.save(image_path)
        character['image_path'] = image_path
        character.pop('image', None)

        # Assuming traits is a string, split into list if necessary
        if isinstance(character['traits'], str):
            character['traits'] = character['traits'].split(',')
            character['traits'] = [t.strip() for t in character['traits']]

        self.characters.append(character)
        self.save_characters()
    
    def get_characters(self):
        # Load character images
        for char in self.characters:
            image_path = char.get('image_path')
            if image_path and os.path.exists(image_path):
                char['image'] = image_path
            else:
                char['image'] = None
        return self.characters
    
    def set_persistent_tags(self, tags_string):
        if isinstance(tags_string, str):
            self.persistent_tags = [t.strip() for t in tags_string.split(',') if t.strip()]
            self.save_persistent_tags()
    
    def get_persistent_tags(self):
        return self.persistent_tags

def character_creation_app(data_manager):
    with gr.Tab("Character Creation"):
        with gr.Row():
            name_input = gr.Textbox(label="Character Name")
            traits_input = gr.Textbox(label="Traits/Appearance Tags (comma separated)")
        image_input = gr.Image(label="Upload Character Image", type="pil")
        save_button = gr.Button("Save Character")
        output = gr.Textbox(label="Status", interactive=False)

    def save_character(name, traits, image):
        if not name or not traits or image is None:
            return "Please enter all fields."
        character = {'name': name, 'traits': traits, 'image': image}
        data_manager.add_character(character)
        return f"Character '{name}' saved successfully."

    save_button.click(save_character, inputs=[name_input, traits_input, image_input], outputs=output)

def prompt_generator_app(data_manager):
    with gr.Tab("Prompt Generator"):
        # Input fields for each category
        categories = [
            ('Scene', 'scene_tags'),
            ('Position', 'position_tags'),
            ('Outfit', 'outfit_tags'),
            ('Camera View/Angle', 'camera_tags'),
            ('Concept', 'concept_tags'),
            ('Additional', 'additional_tags'),
            ('LORA', 'lora_tags')
        ]

        inputs = {}
        for category_name, var_name in categories:
            with gr.Row():
                tag_input = gr.Textbox(label=f"{category_name} Tags (comma separated)")
                tag_num = gr.Slider(minimum=0, maximum=10, step=1, value=1, label=f"Number of {category_name} Tags to Select")
            inputs[f"{var_name}_input"] = tag_input
            inputs[f"{var_name}_num"] = tag_num

        # For Character Selection
        with gr.Group():
            gr.Markdown("### Character Selection")
            character_options = [char['name'] for char in data_manager.get_characters()]
            character_select = gr.CheckboxGroup(choices=character_options, label="Select Characters")
            random_characters = gr.Checkbox(label="Select Random Characters")
            num_characters = gr.Slider(minimum=0, maximum=10, step=1, value=1, label="Number of Characters (if random)")
        
        # Number of people in the scene
        num_people = gr.Slider(minimum=0, maximum=10, step=1, value=1, label="Number of People in the Scene")

        generate_button = gr.Button("Generate Prompt")
        prompt_output = gr.Textbox(label="Generated Prompt", lines=5)

    def generate_prompt(*args):
        # args correspond to inputs in the order they are defined
        # Need to map args to variables
        arg_idx = 0

        prompt_tags = []
        for category_name, var_name in categories:
            tags_input = args[arg_idx]
            tags_num = args[arg_idx + 1]
            arg_idx += 2

            tags_list = [tag.strip() for tag in tags_input.split(',')] if tags_input else []
            if tags_list and tags_num > 0:
                selected_tags = random.sample(tags_list, min(len(tags_list), int(tags_num)))
                prompt_tags.extend(selected_tags)
        
        # Handle Characters
        selected_characters = args[arg_idx]
        random_chars = args[arg_idx + 1]
        num_random_chars = args[arg_idx + 2]
        num_people_in_scene = args[arg_idx + 3]

        arg_idx += 4

        characters = data_manager.get_characters()
        selected_chars = []
        if random_chars:
            num = min(len(characters), int(num_random_chars))
            selected_chars = random.sample(characters, num)
        else:
            selected_chars = [char for char in characters if char['name'] in selected_characters]

        # Adjust the number of people in the scene
        if num_people_in_scene > len(selected_chars):
            # Add generic people or adjust as needed
            pass  # This part can be customized based on requirements

        for idx, char in enumerate(selected_chars):
            prompt_tags.append(f"{char['name']}")
            prompt_tags.extend(char['traits'])

        # Load persistent tags
        persistent_tags = data_manager.get_persistent_tags()
        prompt_tags.extend(persistent_tags)

        # Assemble prompt with classic syntax (word:weight)
        prompt = ', '.join(f"({tag}:1.0)" for tag in prompt_tags if tag)
        # Add ending tags
        ending_tags = "source_anime, score_9, score_8_up, score_7_up, masterpiece, best quality, very aesthetic, absurdres, anime artwork, anime style, vibrant, studio anime, highly detailed"
        prompt = f"{prompt}, {ending_tags}"
        return prompt

    # Prepare the list of inputs for the generate_prompt function
    inputs_list = []
    for var_name in inputs:
        inputs_list.append(inputs[var_name])
    inputs_list.extend([character_select, random_characters, num_characters, num_people])

    generate_button.click(generate_prompt, inputs=inputs_list, outputs=prompt_output)

def settings_app(data_manager):
    with gr.Tab("Settings"):
        persistent_tags_input = gr.Textbox(label="Persistent Tags (comma separated)")
        save_persistent_tags_button = gr.Button("Save Persistent Tags")
        status_output = gr.Textbox(label="Status", interactive=False)

    def save_persistent_tags(tags_string):
        data_manager.set_persistent_tags(tags_string)
        return "Persistent tags saved successfully."

    save_persistent_tags_button.click(save_persistent_tags, inputs=persistent_tags_input, outputs=status_output)

def main():
    data_manager = DataManager()
    with gr.Blocks() as demo:
        prompt_generator_app(data_manager)
        character_creation_app(data_manager)
        settings_app(data_manager)

    demo.launch()

if __name__ == "__main__":
    main()