app.py

import random
import gradio as gr
from data import fashion_elements, PhotoReal, negative_prompt_fusion

class FashionPromptGenerator:
    def __init__(self):
        self.previous_prompts = set()
        self.photo_real = PhotoReal()

    def generate_unique_prompts(self, subject_name, num_prompts=5):
        """Genera una lista de prompts únicos."""
        if not subject_name or subject_name.isspace():
            subject_name = "a beautiful woman"
        
        prompts = []
        max_attempts = num_prompts * 10
        attempts = 0

        while len(prompts) < num_prompts and attempts < max_attempts:
            prompt = self._build_fused_prompt(subject_name)
            prompt_hash = hash(prompt)
            if prompt_hash not in self.previous_prompts:
                self.previous_prompts.add(prompt_hash)
                prompts.append(prompt)
            attempts += 1
        
        # Si no se logran suficientes prompts únicos, rellena con algunos aleatorios (aunque se repitan)
        while len(prompts) < num_prompts:
            prompts.append(self._build_fused_prompt(subject_name))
            
        return prompts

    def _build_fused_prompt(self, subject_name):
        """Construye un prompt fusionando los estilos photorealistic y voyeuristic."""
        # --- Elementos de Photorealistic ---
        role = random.choice(self.photo_real.ROLES)
        body = random.choice(self.photo_real.BODY)
        skin = random.choice(self.photo_real.SKIN)
        hair = random.choice(self.photo_real.HAIR)
        expression = random.choice(self.photo_real.EXPRESSION)
        sensual_pose = random.choice(self.photo_real.SENSUAL_POSES)
        
        # --- Elementos de Voyeuristic ---
        primary_color = random.choice(fashion_elements["colors"])
        discovery_moment = random.choice(fashion_elements["discovery_moments"])
        reveal_action = random.choice(fashion_elements["lingerie_reveal_actions"])
        background = random.choice(fashion_elements["backgrounds"])
        lighting = random.choice(fashion_elements["lighting"])
        
        # --- Construcción del Prompt ---
        prompt = (
            f"Photorealistic portrait of {subject_name} as a {role['role']}, "
            f"captured from an extreme low angle, floor-level perspective, shooting upward. "
            f"The composition focuses on a moment of discovery, {discovery_moment}. "
            f"She is {reveal_action}, creating a natural and unposed exposure.\n\n"
            f"**Body & Appearance:**\n"
            f"- **Physique:** {body} with {skin}.\n"
            f"- **Hair:** {hair}.\n"
            f"- **Expression:** {expression}.\n"
            f"- **Outfit:** She wears {role['outfit']} over {primary_color} lingerie. "
            f"Complemented by {self.photo_real.STOCKINGS} and {self.photo_real.HEELS}.\n\n"
            f"**Scene & Atmosphere:**\n"
            f"- **Setting:** {background} with {lighting}.\n"
            f"- **Pose:** {sensual_pose['pose']} ({sensual_pose['view']} view), emphasizing a sensual and captivating stance.\n"
            f"- **Mood:** Intimate, sensual, and elegantly composed.\n\n"
            f"**Technical Details:**\n"
            f"- **Camera:** {self.photo_real.CAMERA}.\n"
            f"- **Quality:** Ultra HD, professional retouching, sharp focus on intimate details and facial expression.\n\n"
            f"The image captures a fleeting, intimate moment that feels both spontaneous and beautifully composed, emphasizing the sensual discovery of hidden lingerie through natural movement and expert framing. "
            f"--ar 9:16 --v 6 --q 2 --style raw --stylize 100"
        )
        return prompt.strip()

    def clear_history(self):
        """Limpia el historial de prompts generados."""
        self.previous_prompts.clear()

custom_css = """
    .prompt-box {
        border: 1px solid #e2e8f0; border-radius: 8px; padding: 16px;
        margin-bottom: 16px; background-color: #f8fafc; 
        font-family: 'Monaco', 'Consolas', monospace; font-size: 0.9em;
    }
    .prompt-title { font-weight: bold; margin-bottom: 8px; color: #4a5568; }
    .header { text-align: center; margin-bottom: 20px; }
"""

def create_gradio_interface():
    generator = FashionPromptGenerator()

    with gr.Blocks() as demo:
        gr.Markdown("""
        # 🎭 Advanced Fashion Prompt Generator
        *Create photorealistic, discovery-focused prompts with a single, powerful style.*
        """, elem_classes="header")
        
        with gr.Row():
            with gr.Column(scale=2):
                celebrity_input = gr.Textbox(
                    label="Celebrity Name (Optional)",
                    placeholder="Enter a name or leave blank for 'a beautiful woman'",
                )
                num_prompts_slider = gr.Slider(
                    minimum=1, maximum=10, value=5, step=1, label="Number of Prompts to Generate"
                )
            with gr.Column(scale=1):
                generate_btn = gr.Button("✨ Generate Prompts", variant="primary")
                clear_btn = gr.Button("🗑️ Clear History", variant="secondary")

        gr.Markdown("---")
        
        with gr.Row():
            with gr.Column():
                gr.Markdown("###  negativo Prompt")
                negative_prompt_output = gr.Textbox(
                    value=negative_prompt_fusion,
                    label="",
                    lines=4,
                    interactive=False,
                    elem_classes="prompt-box"
                )

        gr.Markdown("## Generated Prompts")
        
        output_columns = []
        output_prompts = []
        for i in range(10):
            with gr.Column(visible=False) as col:
                gr.Markdown(f"### 🎯 Prompt {i+1}", elem_classes="prompt-title")
                prompt_output = gr.Textbox(
                    label="", lines=10, interactive=False, elem_classes="prompt-box"
                )
                output_columns.append(col)
                output_prompts.append(prompt_output)

        def generate_and_display(celebrity_name, num_prompts):
            num_prompts = int(num_prompts)
            prompts = generator.generate_unique_prompts(celebrity_name, num_prompts)
            
            updates = []
            # Create a flat list of updates for all components
            for i in range(10):
                if i < num_prompts:
                    # Make column visible and set textbox value
                    updates.append(gr.update(visible=True))
                    updates.append(gr.update(value=prompts[i]))
                else:
                    # Hide column and clear textbox value
                    updates.append(gr.update(visible=False))
                    updates.append(gr.update(value=""))
            
            return updates

        # The outputs list needs to be flattened
        flat_outputs = [component for pair in zip(output_columns, output_prompts) for component in pair]

        generate_btn.click(
            fn=generate_and_display,
            inputs=[celebrity_input, num_prompts_slider],
            outputs=flat_outputs
        )
        
        def clear_history_and_outputs():
            generator.clear_history()
            updates = []
            for i in range(10):
                updates.append(gr.update(visible=False)) # Hide column
                updates.append(gr.update(value=""))      # Clear textbox
            return updates

        clear_btn.click(
            fn=clear_history_and_outputs,
            inputs=None,
            outputs=flat_outputs
        )

    return demo

if __name__ == "__main__":
    demo = create_gradio_interface()
    demo.launch(share=True, css=custom_css)