app_ltx.py

# app.py (Versão Corrigida)

import gradio as gr
from PIL import Image
import os
import imageio
from api.ltx_server import video_generation_service
from huggingface_hub import logging

logging.set_verbosity_error()
logging.set_verbosity_warning()
logging.set_verbosity_info()
logging.set_verbosity_debug()

# --- FUNÇÕES DE AJUDA PARA A UI ---
# ... (calculate_new_dimensions e handle_media_upload_for_dims permanecem as mesmas) ...
TARGET_FIXED_SIDE = 768
MIN_DIM_SLIDER = 256
MAX_IMAGE_SIZE = 1280

def calculate_new_dimensions(orig_w, orig_h):
    if orig_w == 0 or orig_h == 0: return int(TARGET_FIXED_SIDE), int(TARGET_FIXED_SIDE)
    if orig_w >= orig_h:
        new_h, aspect_ratio = TARGET_FIXED_SIDE, orig_w / orig_h
        new_w = round((new_h * aspect_ratio) / 32) * 32
        new_w = max(MIN_DIM_SLIDER, min(new_w, MAX_IMAGE_SIZE))
        new_h = max(MIN_DIM_SLIDER, min(new_h, MAX_IMAGE_SIZE)) 
    else:
        new_w, aspect_ratio = TARGET_FIXED_SIDE, orig_h / orig_w
        new_h = round((new_w * aspect_ratio) / 32) * 32
        new_h = max(MIN_DIM_SLIDER, min(new_h, MAX_IMAGE_SIZE))
        new_w = max(MIN_DIM_SLIDER, min(new_w, MAX_IMAGE_SIZE))
    return int(new_h), int(new_w)

def handle_media_upload_for_dims(filepath, current_h, current_w):
    if not filepath or not os.path.exists(str(filepath)): return gr.update(value=current_h), gr.update(value=current_w)
    try:
        if str(filepath).lower().endswith(('.png', '.jpg', '.jpeg', '.webp')):
            with Image.open(filepath) as img:
                orig_w, orig_h = img.size
        else: # Assumir que é um vídeo
            with imageio.get_reader(filepath) as reader:
                meta = reader.get_meta_data()
                orig_w, orig_h = meta.get('size', (current_w, current_h))
        new_h, new_w = calculate_new_dimensions(orig_w, orig_h)
        return gr.update(value=new_h), gr.update(value=new_w)
    except Exception as e:
        print(f"Erro ao processar mídia para dimensões: {e}")
        return gr.update(value=current_h), gr.update(value=current_w)

def update_frame_slider(duration):
    """Atualiza o valor máximo do slider de frame do meio com base na duração."""
    fps = 24.0
    max_frames = int(duration * fps)
    # Garante que o valor padrão não seja maior que o novo máximo
    new_value = 48 if max_frames >= 48 else max_frames // 2
    return gr.update(maximum=max_frames, value=new_value)

# --- FUNÇÃO WRAPPER PARA CHAMAR O SERVIÇO ---
def gradio_generate_wrapper(
    prompt, negative_prompt, mode,
    # Entradas de Keyframe
    start_image,
    middle_image, middle_frame, middle_weight,
    end_image, end_weight,
    # Outras entradas
    input_video, height, width, duration,
    frames_to_use, seed, randomize_seed,
    guidance_scale, improve_texture,
    progress=gr.Progress(track_tqdm=True)
):
    try:
        def progress_handler(step, total_steps):
            progress(step / total_steps, desc="Salvando vídeo...")

        output_path, used_seed = video_generation_service.generate(
            prompt=prompt, negative_prompt=negative_prompt, mode=mode,
            start_image_filepath=start_image,
            middle_image_filepath=middle_image,
            middle_frame_number=middle_frame,
            middle_image_weight=middle_weight,
            end_image_filepath=end_image,
            end_image_weight=end_weight,
            input_video_filepath=input_video,
            height=int(height), width=int(width), duration=float(duration),
            frames_to_use=int(frames_to_use), seed=int(seed),
            randomize_seed=bool(randomize_seed), guidance_scale=float(guidance_scale),
            improve_texture=bool(improve_texture), progress_callback=progress_handler
        )
        return output_path, used_seed
    except ValueError as e:
        raise gr.Error(str(e))
    except Exception as e:
        print(f"Erro inesperado na geração: {e}")
        raise gr.Error("Ocorreu um erro inesperado. Verifique os logs.")

# --- DEFINIÇÃO DA INTERFACE GRADIO ---
css = "#col-container { margin: 0 auto; max-width: 900px; }"
with gr.Blocks(css=css) as demo:
    gr.Markdown("# LTX Video com Keyframes")
    gr.Markdown("Guie a geração de vídeo usando imagens de início, meio e fim.")

    with gr.Row():
        with gr.Column():
            with gr.Tab("image-to-video (Keyframes)") as image_tab:
                i2v_prompt = gr.Textbox(label="Prompt", value="Uma bela transição entre as imagens", lines=2)
                
                with gr.Row():
                    with gr.Column(scale=1):
                        gr.Markdown("#### Início (Obrigatório)")
                        start_image_i2v = gr.Image(label="Imagem de Início", type="filepath", sources=["upload", "clipboard"])
                with gr.Row():
                    with gr.Accordion("Imagens condicionais opcional", open=False):    
                        with gr.Column(scale=1):
                            gr.Markdown("#### Meio (Opcional)")
                            middle_image_i2v = gr.Image(label="Imagem do Meio", type="filepath", sources=["upload", "clipboard"])
                            middle_frame_i2v = gr.Slider(label="Frame Alvo", minimum=0, maximum=200, step=1, value=48)
                            middle_weight_i2v = gr.Slider(label="Peso/Força", minimum=0.0, maximum=1.0, step=0.05, value=1.0)
                        with gr.Column(scale=1):
                            gr.Markdown("#### Fim (Opcional)")
                            end_image_i2v = gr.Image(label="Imagem de Fim", type="filepath", sources=["upload", "clipboard"])
                            end_weight_i2v = gr.Slider(label="Peso/Força", minimum=0.0, maximum=1.0, step=0.05, value=1.0)
                
                i2v_button = gr.Button("Generate Image-to-Video", variant="primary")

            with gr.Tab("text-to-video") as text_tab:
                t2v_prompt = gr.Textbox(label="Prompt", value="A majestic dragon flying over a medieval castle", lines=3)
                t2v_button = gr.Button("Generate Text-to-Video", variant="primary")

            with gr.Tab("video-to-video") as video_tab:
                video_v2v = gr.Video(label="Input Video", sources=["upload", "webcam"])
                frames_to_use = gr.Slider(label="Frames to use from input video", minimum=9, maximum=257, value=9, step=8, info="Must be N*8+1.")
                v2v_prompt = gr.Textbox(label="Prompt", value="Change the style to cinematic anime", lines=3)
                v2v_button = gr.Button("Generate Video-to-Video", variant="primary")

            duration_input = gr.Slider(label="Video Duration (seconds)", minimum=1, maximum=30, value=8, step=0.5)
            improve_texture = gr.Checkbox(label="Improve Texture (multi-scale)", value=True, visible=True)

        with gr.Column():
            output_video = gr.Video(label="Generated Video", interactive=False)

    with gr.Accordion("Advanced settings", open=False):
        mode = gr.Dropdown(["text-to-video", "image-to-video", "video-to-video"], label="task", value="image-to-video", visible=False)
        negative_prompt_input = gr.Textbox(label="Negative Prompt", value="worst quality, blurry, jittery", lines=2)
        with gr.Row():
            seed_input = gr.Number(label="Seed", value=42, precision=0)
            randomize_seed_input = gr.Checkbox(label="Randomize Seed", value=True)
        guidance_scale_input = gr.Slider(label="Guidance Scale (CFG)", minimum=1.0, maximum=10.0, value=3.0, step=0.1)
        with gr.Row():
            height_input = gr.Slider(label="Height", value=512, step=32, minimum=MIN_DIM_SLIDER, maximum=MAX_IMAGE_SIZE)
            width_input = gr.Slider(label="Width", value=704, step=32, minimum=MIN_DIM_SLIDER, maximum=MAX_IMAGE_SIZE)

    # --- LÓGICA DE EVENTOS DA UI ---
    
    start_image_i2v.upload(fn=handle_media_upload_for_dims, inputs=[start_image_i2v, height_input, width_input], outputs=[height_input, width_input])
    video_v2v.upload(fn=handle_media_upload_for_dims, inputs=[video_v2v, height_input, width_input], outputs=[height_input, width_input])
    duration_input.change(fn=update_frame_slider, inputs=duration_input, outputs=middle_frame_i2v)
    
    image_tab.select(fn=lambda: "image-to-video", outputs=[mode])
    text_tab.select(fn=lambda: "text-to-video", outputs=[mode])
    video_tab.select(fn=lambda: "video-to-video", outputs=[mode])
    
    # Placeholders para os botões que não usam certos inputs
    none_image = gr.Textbox(visible=False, value=None)
    none_video = gr.Textbox(visible=False, value=None)
    
    # Parâmetros comuns a todos
    shared_params = [
        height_input, width_input, duration_input, frames_to_use, 
        seed_input, randomize_seed_input, guidance_scale_input, improve_texture
    ]
    
    i2v_inputs = [
        i2v_prompt, negative_prompt_input, mode,
        start_image_i2v, middle_image_i2v, middle_frame_i2v, middle_weight_i2v,
        end_image_i2v, end_weight_i2v,
        none_video, # Placeholder para input_video
        *shared_params
    ]

    t2v_inputs = [
        t2v_prompt, negative_prompt_input, mode,
        none_image, none_image, gr.Number(value=-1, visible=False), gr.Slider(value=0, visible=False), # Placeholders para keyframes
        none_image, gr.Slider(value=0, visible=False),
        none_video, # Placeholder para input_video
        *shared_params
    ]
    
    v2v_inputs = [
        v2v_prompt, negative_prompt_input, mode,
        none_image, none_image, gr.Number(value=-1, visible=False), gr.Slider(value=0, visible=False), # Placeholders para keyframes
        none_image, gr.Slider(value=0, visible=False),
        video_v2v, # Input de vídeo real
        *shared_params
    ]
    
    common_outputs = [output_video, seed_input]
    
    i2v_button.click(fn=gradio_generate_wrapper, inputs=i2v_inputs, outputs=common_outputs, api_name="image_to_video_keyframes")
    t2v_button.click(fn=gradio_generate_wrapper, inputs=t2v_inputs, outputs=common_outputs, api_name="text_to_video")
    v2v_button.click(fn=gradio_generate_wrapper, inputs=v2v_inputs, outputs=common_outputs, api_name="video_to_video")
    # --- <FIM DA CORREÇÃO> ---


if __name__ == "__main__":
    demo.queue().launch(debug=True, share=False)