#Uma implementação aberta e funcional da arquitetura ADUC-SDR para geração de vídeo coerente. # Copyright (C) 4 de Agosto de 2025 Carlos Rodrigues dos Santos # #Versao: 1.5.1 # # Contato: # Carlos Rodrigues dos Santos # carlex22@gmail.com # # Repositórios e Projetos Relacionados: # GitHub: https://github.com/carlex22/Aduc-sdr # YouTube (Resultados): https://m.youtube.com/channel/UC3EgoJi_Fv7yuDpvfYNtoIQ # # Este programa é software livre: você pode redistribuí-lo e/ou modificá-lo # sob os termos da Licença Pública Geral Affero da GNU como publicada pela # Free Software Foundation, seja a versão 3 da Licença, ou # (a seu critério) qualquer versão posterior. # # Este programa é distribuído na esperança de que seja útil, # mas SEM QUALQUER GARANTIA; sem mesmo a garantia implícita de # COMERCIALIZAÇÃO ou ADEQUAÇÃO A UM DETERMINADO FIM. Consulte a # Licença Pública Geral Affero da GNU para mais detalhes. # # Você deve ter recebido uma cópia da Licença Pública Geral Affero da GNU # junto com este programa. Se não, veja . # # AVISO DE PATENTE PENDENTE: O método e sistema ADUC implementado neste # software está em processo de patenteamento. Consulte NOTICE.md. import gradio as gr import yaml import logging import os import sys import shutil import time import json from aduc_orchestrator import AducOrchestrator # --- 1. CONFIGURAÇÃO E INICIALIZAÇÃO --- LOG_FILE_PATH = "aduc_log.txt" if os.path.exists(LOG_FILE_PATH): os.remove(LOG_FILE_PATH) log_format = '%(asctime)s - %(levelname)s - [%(name)s:%(funcName)s] - %(message)s' root_logger = logging.getLogger() root_logger.setLevel(logging.INFO) root_logger.handlers.clear() stream_handler = logging.StreamHandler(sys.stdout) stream_handler.setLevel(logging.INFO) stream_handler.setFormatter(logging.Formatter(log_format)) root_logger.addHandler(stream_handler) file_handler = logging.FileHandler(LOG_FILE_PATH, mode='w', encoding='utf-8') file_handler.setLevel(logging.INFO) file_handler.setFormatter(logging.Formatter(log_format)) root_logger.addHandler(file_handler) logger = logging.getLogger(__name__) i18n = {} try: with open("i18n.json", "r", encoding="utf-8") as f: i18n = json.load(f) except Exception as e: logger.error(f"Erro ao carregar i18n.json: {e}") i18n = {"pt": {}, "en": {}, "zh": {}} if 'pt' not in i18n: i18n['pt'] = i18n.get('en', {}) if 'en' not in i18n: i18n['en'] = {} if 'zh' not in i18n: i18n['zh'] = i18n.get('en', {}) try: with open("config.yaml", 'r') as f: config = yaml.safe_load(f) WORKSPACE_DIR = config['application']['workspace_dir'] aduc = AducOrchestrator(workspace_dir=WORKSPACE_DIR) logger.info("Orquestrador ADUC e Especialistas inicializados com sucesso.") except Exception as e: logger.error(f"ERRO CRÍTICO ao inicializar: {e}", exc_info=True) exit() # --- 2. WRAPPERS DA UI --- def run_mode_a_wrapper(prompt, num_keyframes, ref_files, resolution_str, duration_per_fragment, progress=gr.Progress()): if not ref_files: raise gr.Error("Por favor, forneça pelo menos uma imagem de referência.") ref_paths = [aduc.process_image_for_story(f.name, 480, f"ref_processed_{i}.png") for i, f in enumerate(ref_files)] progress(0.1, desc="Gerando roteiro...") storyboard, initial_ref_path, _ = aduc.task_generate_storyboard(prompt, num_keyframes, ref_paths, progress) resolution = int(resolution_str.split('x')[0]) def cb_factory(scene_index, total_scenes): start_time = time.time() total_steps = 12 def callback(pipe_self, step, timestep, callback_kwargs): elapsed = time.time() - start_time current_step = step + 1 if current_step > 0: it_per_sec = current_step / elapsed eta = (total_steps - current_step) / it_per_sec if it_per_sec > 0 else 0 desc = f"Keyframe {scene_index}/{total_scenes}: {int((current_step/total_steps)*100)}% | {current_step}/{total_steps} [{elapsed:.0f}s<{eta:.0f}s, {it_per_sec:.2f}it/s]" base_progress = 0.2 + (scene_index - 1) * (0.8 / total_scenes) step_progress = (current_step / total_steps) * (0.8 / total_scenes) progress(base_progress + step_progress, desc=desc) return {} return callback final_keyframes = aduc.task_generate_keyframes(storyboard, initial_ref_path, prompt, resolution, cb_factory) return gr.update(value=storyboard), gr.update(value=final_keyframes), gr.update(visible=True, open=True) def run_mode_b_wrapper(prompt, num_keyframes, ref_files, progress=gr.Progress()): if not ref_files or len(ref_files) < 2: raise gr.Error("Modo Fotógrafo requer pelo menos 2 imagens: uma base e uma para o banco de cenas.") base_ref_paths = [aduc.process_image_for_story(ref_files[0].name, 480, "base_ref_processed_0.png")] pool_ref_paths = [aduc.process_image_for_story(f.name, 480, f"pool_ref_{i+1}.png") for i, f in enumerate(ref_files[1:])] progress(0.1, desc="Gerando roteiro...") storyboard, _, _ = aduc.task_generate_storyboard(prompt, num_keyframes, base_ref_paths, progress) progress(0.5, desc="IA (Fotógrafo) está selecionando as melhores cenas...") selected_keyframes = aduc.task_select_keyframes(storyboard, base_ref_paths, pool_ref_paths) return gr.update(value=storyboard), gr.update(value=selected_keyframes), gr.update(visible=True, open=True) def run_video_production_wrapper(keyframes, prompt, duration, trim_percent, handler_strength, destination_convergence_strength, use_upscaler, use_refiner, use_hd, use_audio, video_resolution, progress=gr.Progress()): yield { final_video_output: gr.update(value=None, visible=True, label="🎬 Produzindo seu filme... Por favor, aguarde.") } resolution = int(video_resolution.split('x')[0]) final_movie_path = None for update in aduc.task_produce_final_movie_with_feedback( keyframes, prompt, duration, int(trim_percent), handler_strength, destination_convergence_strength, use_upscaler, use_refiner, use_hd, use_audio, resolution, use_continuity_director=True, progress=progress ): if "final_path" in update and update["final_path"]: final_movie_path = update["final_path"] break yield { final_video_output: gr.update(value=final_movie_path, label="🎉 FILME COMPLETO 🎉") } def get_log_content(): try: with open(LOG_FILE_PATH, "r", encoding="utf-8") as f: return f.read() except FileNotFoundError: return "Arquivo de log ainda não criado. Inicie uma geração." def update_ui_language(lang_code): lang_map = i18n.get(lang_code, i18n.get('en', {})) return { title_md: gr.update(value=f"# {lang_map.get('app_title')}"), subtitle_md: gr.update(value=lang_map.get('app_subtitle')), lang_selector: gr.update(label=lang_map.get('lang_selector_label')), step1_accordion: gr.update(label=lang_map.get('step1_accordion')), prompt_input: gr.update(label=lang_map.get('prompt_label')), ref_image_input: gr.update(label=lang_map.get('ref_images_label')), num_keyframes_slider: gr.update(label=lang_map.get('keyframes_label')), duration_per_fragment_slider: gr.update(label=lang_map.get('duration_label'), info=lang_map.get('duration_info')), storyboard_and_keyframes_button: gr.update(value=lang_map.get('storyboard_and_keyframes_button')), storyboard_from_photos_button: gr.update(value=lang_map.get('storyboard_from_photos_button')), step1_mode_b_info_md: gr.update(value=f"*{lang_map.get('step1_mode_b_info')}*"), storyboard_output: gr.update(label=lang_map.get('storyboard_output_label')), keyframe_gallery: gr.update(label=lang_map.get('keyframes_gallery_label')), step2_accordion: gr.update(label=lang_map.get('step3_accordion')), step2_description_md: gr.update(value=lang_map.get('step3_description')), produce_button: gr.update(value=lang_map.get('produce_button')), final_video_output: gr.update(label=lang_map.get('final_movie_with_audio_label')), log_accordion: gr.update(label=lang_map.get('log_accordion_label')), log_display: gr.update(label=lang_map.get('log_display_label')), update_log_button: gr.update(value=lang_map.get('update_log_button')), advanced_options_accordion: gr.update(label=lang_map.get('advanced_options_accordion')), causality_controls_title_md: gr.update(value=f"**{lang_map.get('causality_controls_title')}**"), trim_percent_slider: gr.update(label=lang_map.get('trim_percent_label'), info=lang_map.get('trim_percent_info')), forca_guia_slider: gr.update(label=lang_map.get('forca_guia_label'), info=lang_map.get('forca_guia_info')), convergencia_destino_slider: gr.update(label=lang_map.get('convergencia_final_label'), info=lang_map.get('convergencia_final_info')), post_production_controls_title_md: gr.update(value=f"**{lang_map.get('post_production_controls_title')}**"), use_upscaler_checkbox: gr.update(label=lang_map.get('use_upscaler_label')), use_refiner_checkbox: gr.update(label=lang_map.get('use_refiner_label')), use_hd_checkbox: gr.update(label=lang_map.get('use_hd_label')), use_audio_checkbox: gr.update(label=lang_map.get('use_audio_label')), } # --- 3. DEFINIÇÃO DA UI --- with gr.Blocks(theme=gr.themes.Soft()) as demo: default_lang = i18n.get('pt', {}) title_md = gr.Markdown(f"# {default_lang.get('app_title')}") subtitle_md = gr.Markdown(default_lang.get('app_subtitle')) with gr.Row(): lang_selector = gr.Radio(["pt", "en", "zh"], value="pt", label=default_lang.get('lang_selector_label')) resolution_selector = gr.Radio(["480x480"], value="480x480", label="Resolução Base") with gr.Accordion(default_lang.get('step1_accordion'), open=True) as step1_accordion: prompt_input = gr.Textbox(label=default_lang.get('prompt_label'), value="A majestic lion walks across the savanna, sits down, and then roars at the setting sun.") ref_image_input = gr.File(label=default_lang.get('ref_images_label'), file_count="multiple", file_types=["image"]) with gr.Row(): num_keyframes_slider = gr.Slider(minimum=3, maximum=42, value=5, step=1, label=default_lang.get('keyframes_label')) duration_per_fragment_slider = gr.Slider(label=default_lang.get('duration_label'), info=default_lang.get('duration_info'), minimum=2.0, maximum=10.0, value=4.0, step=0.1) with gr.Row(): storyboard_and_keyframes_button = gr.Button(default_lang.get('storyboard_and_keyframes_button'), variant="primary") storyboard_from_photos_button = gr.Button(default_lang.get('storyboard_from_photos_button')) step1_mode_b_info_md = gr.Markdown(f"*{default_lang.get('step1_mode_b_info')}*") storyboard_output = gr.JSON(label=default_lang.get('storyboard_output_label')) keyframe_gallery = gr.Gallery(label=default_lang.get('keyframes_gallery_label'), visible=True, object_fit="contain", height="auto", type="filepath") with gr.Accordion(default_lang.get('step3_accordion'), open=False, visible=False) as step2_accordion: step2_description_md = gr.Markdown(default_lang.get('step3_description')) with gr.Accordion(default_lang.get('advanced_options_accordion'), open=True) as advanced_options_accordion: causality_controls_title_md = gr.Markdown(f"**{default_lang.get('causality_controls_title')}**") trim_percent_slider = gr.Slider(minimum=10, maximum=90, value=50, step=5, label=default_lang.get('trim_percent_label'), info=default_lang.get('trim_percent_info')) with gr.Row(): forca_guia_slider = gr.Slider(label=default_lang.get('forca_guia_label'), minimum=0.0, maximum=1.0, value=0.5, step=0.05, info=default_lang.get('forca_guia_info')) convergencia_destino_slider = gr.Slider(label=default_lang.get('convergencia_final_label'), minimum=0.0, maximum=1.0, value=0.75, step=0.05, info=default_lang.get('convergencia_final_info')) gr.Markdown("---") post_production_controls_title_md = gr.Markdown(f"**{default_lang.get('post_production_controls_title')}**") with gr.Row(): use_upscaler_checkbox = gr.Checkbox(label=default_lang.get('use_upscaler_label'), value=True) use_refiner_checkbox = gr.Checkbox(label=default_lang.get('use_refiner_label'), value=True) use_hd_checkbox = gr.Checkbox(label=default_lang.get('use_hd_label'), value=True) use_audio_checkbox = gr.Checkbox(label=default_lang.get('use_audio_label'), value=False, interactive=False) produce_button = gr.Button(default_lang.get('produce_button'), variant="primary") final_video_output = gr.Video(label=default_lang.get('final_movie_with_audio_label'), visible=False) with gr.Accordion(default_lang.get('log_accordion_label'), open=False) as log_accordion: log_display = gr.Textbox(label=default_lang.get('log_display_label'), lines=20, interactive=False, autoscroll=True) update_log_button = gr.Button(default_lang.get('update_log_button')) # --- 4. CONEXÕES DA UI --- all_ui_components = list(update_ui_language('pt').keys()) lang_selector.change(fn=update_ui_language, inputs=lang_selector, outputs=all_ui_components) storyboard_and_keyframes_button.click( fn=run_mode_a_wrapper, inputs=[prompt_input, num_keyframes_slider, ref_image_input, resolution_selector, duration_per_fragment_slider], outputs=[storyboard_output, keyframe_gallery, step2_accordion] ) storyboard_from_photos_button.click( fn=run_mode_b_wrapper, inputs=[prompt_input, num_keyframes_slider, ref_image_input], outputs=[storyboard_output, keyframe_gallery, step2_accordion] ) produce_button.click( fn=run_video_production_wrapper, inputs=[ keyframe_gallery, prompt_input, duration_per_fragment_slider, trim_percent_slider, forca_guia_slider, convergencia_destino_slider, use_upscaler_checkbox, use_refiner_checkbox, use_hd_checkbox, use_audio_checkbox, resolution_selector ], outputs=[final_video_output] ) update_log_button.click(fn=get_log_content, inputs=[], outputs=[log_display]) # --- 5. INICIALIZAÇÃO DA APLICAÇÃO --- if __name__ == "__main__": if os.path.exists(WORKSPACE_DIR): logger.info(f"Limpando o workspace anterior em: {WORKSPACE_DIR}") shutil.rmtree(WORKSPACE_DIR) os.makedirs(WORKSPACE_DIR) logger.info(f"Aplicação iniciada. Lançando interface Gradio...") demo.queue().launch()