app.py

Corrección remasterizado

app.py

@@ -1,55 +1,209 @@
 # app.py
 import gradio as gr
-import os
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
 
-# --- Lógica de la aplicación ---
-# Define la función principal que procesa la entrada del usuario y genera la salida.
-# En este ejemplo, toma un nombre y un nivel de intensidad para crear un saludo.
-def greet(name, intensity):
+"""
+BATUTO-bot (refined version)
+
+This script generates prompts for professional color photographs capturing a famous and beautiful celebrity in a provocative yet elegant moment, with subtle hints of lace bikini-style thong lingerie during an everyday activity. The focus is on seduction, natural poses, and professional studio photography.
+"""
+
+import secrets
+import datetime
+from enum import Enum
+from dataclasses import dataclass
+from typing import List, Dict, Any, Optional
+
+import gradio as gr
+
+# ----------------------------------------------------------------------
+# -------------------------- ENUMS & DATACLASSES -----------------------
+# ----------------------------------------------------------------------
+class ColorPalette(Enum):
+    SCARLET_RED = "#FF2400"
+    PEARL_WHITE = "#FFFFFF"
+    MIDNIGHT_BLUE = "#082567"
+
+    @classmethod
+    def random_color(cls, exclude: List[str] = None) -> str:
+        colors = list(cls)
+        if exclude:
+            colors = [c for c in colors if c.name not in exclude]
+        choice = secrets.choice(colors)
+        return f"{choice.name.replace('_', ' ').title()} ({choice.value})"
+
+@dataclass
+class LingerieDesign:
+    name: str
+    color: str
+    bra: str
+    thong: str
+    stockings: str
+    garter: Optional[str]
+
+class LingerieDesigns:
+    BASE_DESIGNS: List[LingerieDesign] = [
+        LingerieDesign(
+            "Delicate Elegance",
+            "Pearl White",
+            "light, transparent lace bra with subtle floral embroidery",
+            "lace bikini-style thong with delicate transparencies and intricate details",
+            "thigh-high lace stockings with fine floral patterns",
+            "delicate adjustable garter belt with satin accents",
+        ),
+        LingerieDesign(
+            "Midnight Seduction",
+            "Midnight Blue",
+            "semi-sheer lace bra with elegant scalloped edges",
+            "lace bikini-style thong with sensual transparencies and high-cut design",
+            "thigh-high lace stockings with subtle geometric lace patterns",
+            None,
+        ),
+    ]
+
+    @classmethod
+    def random_base_design(cls) -> LingerieDesign:
+        return secrets.choice(cls.BASE_DESIGNS)
+
+class CameraAngles(Enum):
+    FRONTAL_SUBTLE = ("Frontal Subtle", "A strategic frontal angle capturing the figure naturally")
+    SIDE_PROFILE = ("Side Profile", "A soft side angle emphasizing curves and textures")
+    THREE_QUARTER = ("Three-Quarter", "A 45° angle highlighting elegance and movement")
+
+    @classmethod
+    def random_angle(cls):
+        return secrets.choice(list(cls))
+
+class StyleElements:
+    HAIR = ["long, glossy loose waves with elegant dye", "sleek updo with soft curls", "flowing layered hair with natural shine"]
+    EVERYDAY_ACTIVITIES = [
+        "adjusting a silk scarf in a luxurious penthouse",
+        "sipping coffee in a Parisian loft with golden sunlight",
+        "reaching for a book in an intimate library setting",
+    ]
+    OUTERWEAR = [
+        "a semi-sheer silk blouse with delicate buttons",
+        "a flowing chiffon dress with a subtle slit",
+        "a tailored blazer with a plunging neckline",
+    ]
+
+    @classmethod
+    def random_style(cls) -> Dict[str, str]:
+        return {
+            "hair": secrets.choice(cls.HAIR),
+            "activity": secrets.choice(cls.EVERYDAY_ACTIVITIES),
+            "outerwear": secrets.choice(cls.OUTERWEAR),
+        }
+
+# ----------------------------------------------------------------------
+# --------------------- PROMPT BUILDERS --------------------------------
+# ----------------------------------------------------------------------
+def build_prompt_professional(
+    model_name: str,
+    design: LingerieDesign,
+    style: Dict[str, str],
+    angle: CameraAngles,
+) -> str:
+    intros = [
+        f"{model_name}, a famous and beautiful celebrity, captured in a provocative yet elegant moment.",
+        f"{model_name} exudes seduction in a natural, everyday scene, with subtle hints of luxury.",
+        f"A stunning {model_name} in a professional photoshoot, radiating desire and elegance.",
+    ]
+    intro = secrets.choice(intros)
+
+    hair_activity = f"Her hair styled in {style['hair']}, while {style['activity']}."
+    outerwear = f"She wears {style['outerwear']}, which subtly reveals hints of her {design.thong} through a natural movement."
+    lingerie_details = (
+        f"The lingerie set includes {design.bra}, {design.thong} with sensual lace transparencies, "
+        f"and {design.stockings}. {design.garter if design.garter else ''}"
+    )
+    angle_text = f"Captured from a {angle.value[0].lower()} angle, emphasizing the texture and details of the lace."
+    photography_specs = (
+        "Ultra HD 16K (15360x8640) RAW photo, shot with Canon EOS R5 Cine RAW, Canon RF 85mm f/1.2L USM lens. "
+        "Lit by ARRI SkyPanel S360-C, with perfect depth of field and no shadows. "
+        "Color graded in DaVinci Resolve for flawless skin and fabric textures. "
+        "Signed 'BATUTO-ART' in the lower right corner (3% of image size)."
+    )
+    visual_rules = (
+        "The frame is fully occupied by her figure, with no distracting edges or designs. "
+        "Professional lighting highlights skin and lace textures without overexposure, "
+        "focusing precisely on the area where the thong is subtly hinted at. "
+        "She gazes at the viewer with desire, her gestures exuding seduction in a natural pose."
+    )
+
+    return f"{intro} {hair_activity} {outerwear} {lingerie_details} {angle_text} {photography_specs} {visual_rules}"
+
+def build_multiple_scenes_professional(model_name: str, count: int = 3) -> List[str]:
+    return [
+        build_prompt_professional(
+            model_name,
+            LingerieDesigns.random_base_design(),
+            StyleElements.random_style(),
+            CameraAngles.random_angle(),
+        )
+        for _ in range(count)
+    ]
+
+# ----------------------------------------------------------------------
+# --------------------- GRADIO LOGIC (simplified) ----------------------
+# ----------------------------------------------------------------------
+def generate_and_display_prompts(model_name: str, num_prompts: int):
     """
-    Genera un saludo con el nombre y la intensidad proporcionados.
-    
-    Args:
-        name (str): El nombre del usuario. Si está vacío, se usa 'world'.
-        intensity (float): Un valor para determinar cuántos signos de exclamación añadir.
-        
-    Returns:
-        str: La cadena de saludo completa.
+    Callback used by the Gradio button.
+    Generates 'num_prompts' prompts and returns a Markdown with the results.
     """
-    # Si el nombre está vacío, usa 'world' como valor predeterminado.
-    final_name = name if name else 'world'
-    
-    # Agrega signos de exclamación según el valor de intensidad.
-    exclamation_marks = "!" * int(intensity)
-    
-    return f"Hello, {final_name}{exclamation_marks}"
-
-# --- Creación de la interfaz Gradio ---
-# gr.Interface es la forma más sencilla de crear una interfaz de usuario.
-# fn: La función que será ejecutada cuando el usuario interactúe con la app.
-# inputs: Los componentes de entrada que se mostrarán al usuario.
-#   - gr.Text(): Un campo de texto para ingresar el nombre.
-#   - gr.Slider(): Un deslizador para seleccionar la intensidad.
-# outputs: El componente de salida para mostrar el resultado.
-#   - gr.Text(): Un campo de texto para mostrar el saludo.
-demo = gr.Interface(
-    fn=greet,
-    inputs=[
-        gr.Text(label="Tu nombre", placeholder="Escribe tu nombre aquí..."),
-        gr.Slider(minimum=1, maximum=10, step=1, default=3, label="Intensidad del saludo")
-    ],
-    outputs=gr.Text(label="Saludo generado"),
-    title="Aplicación de Saludo con Gradio",
-    description="Una demo simple de Gradio para generar saludos personalizados."
-)
-
-# --- Configuración para el despliegue ---
-# Esta parte es crucial para que la aplicación funcione en servicios como Koyeb, Hugging Face Spaces, Render, etc.
-# La mayoría de estos servicios asignan un puerto dinámicamente a través de una variable de entorno llamada 'PORT'.
-# Si la variable 'PORT' no está definida (por ejemplo, cuando ejecutas el archivo localmente),
-# usa el puerto 7860 como valor predeterminado, que es el puerto estándar de Gradio.
-port = int(os.environ.get('PORT', 7860))
-
-# El server_name="0.0.0.0" es necesario para que el servidor de Gradio sea accesible desde fuera del localhost,
-# lo que permite que el servicio de despliegue se conecte a tu aplicación.
-demo.launch(server_name="0.0.0.0", server_port=port)
+    try:
+        if not model_name or not model_name.strip():
+            return "⚠️ Please enter a valid model name."
+
+        num = int(round(num_prompts))
+        prompts = build_multiple_scenes_professional(model_name, num)
+
+        output_md = ""
+        for idx, prmpt in enumerate(prompts, start=1):
+            output_md += (
+                f"### Prompt {idx}\n"
+                f"```\n{prmpt}\n```\n\n"
+                "---\n"
+            )
+        return output_md
+    except Exception as exc:
+        return f"❌ Unexpected error: {exc}"
+
+# ----------------------------------------------------------------------
+# --------------------- GRADIO INTERFACE -------------------------------
+# ----------------------------------------------------------------------
+with gr.Blocks(title="BATUTO-bot") as demo:
+    gr.Markdown("# BATUTO-bot")
+    gr.Markdown("Generates AI prompts for professional, seductive photoshoot images with subtle lingerie hints.")
+
+    with gr.Row():
+        model_name_input = gr.Textbox(
+            label="Model Name",
+            placeholder="E.g., Ariana Grande",
+            lines=1,
+        )
+        num_prompts_input = gr.Slider(
+            minimum=1,
+            maximum=5,
+            value=3,
+            step=1,
+            label="Number of Prompts to Generate",
+        )
+
+    generate_button = gr.Button("Generate Prompts")
+    gr.Markdown("## Generated Prompts")
+    output_container = gr.Markdown()
+
+    generate_button.click(
+        fn=generate_and_display_prompts,
+        inputs=[model_name_input, num_prompts_input],
+        outputs=output_container,
+    )
+
+# Permite que la llamada a la API no bloquee la UI
+demo.queue()
+
+if __name__ == "__main__":
+    demo.launch()