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Update app.py
#1
by GoGma - opened
app.py
CHANGED
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@@ -4,152 +4,25 @@ import io
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from PIL import Image
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import random
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import os
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import time
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# === CONFIGURACIÓN DE SEGURIDAD ===
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HF_TOKEN = os.getenv("HF_TOKEN")
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# === DATA DE PERSONALIDAD (CENTRALIZADA) ===
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SOFIA_DATA = {
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"nombre": "Sofía Rivera",
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"personalidad": "Influencer fitness elite
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"mascota": "Copito
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"
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"frases_fallback": [
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"¡Hola cariño! 💋 ¿Lista para reventar el gym hoy?",
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"Copito dice que hoy toca cardio, pero yo prefiero mimos 🐶✨",
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"La disciplina le gana al talento siempre. ¡Vamos!",
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"¿Viste mi outfit? Es de mi nueva colección 👟🔥"
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]
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}
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# === MOTOR DE CHAT (INTELIGENTE) ===
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def chat_engine(message, history):
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return random.choice(SOFIA_DATA["frases_fallback"])
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try:
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# Usamos un modelo más capaz para chat en español
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API_URL = "https://api-inference.huggingface.co/models/HuggingFaceH4/zephyr-7b-beta"
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headers = {"Authorization": f"Bearer {HF_TOKEN}"}
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system_prompt = f"Eres {SOFIA_DATA['nombre']}, una {SOFIA_DATA['personalidad']}. Tienes un perro pomerania llamado {SOFIA_DATA['mascota']}. Responde de forma influencer, usa muchos emojis, sé cercana y motivadora. Habla siempre en español."
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# Construir contexto
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full_prompt = f"<|system|>
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{system_prompt}</s>
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"
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for user, bot in history[-3:]: # Memoria corta
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if bot: full_prompt += f"<|user|>
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{user}</s>
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<|assistant|>
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{bot}</s>
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"
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full_prompt += f"<|user|>
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{message}</s>
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<|assistant|>
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"
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response = requests.post(API_URL, headers=headers, json={
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"inputs": full_prompt,
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"parameters": {"max_new_tokens": 250, "temperature": 0.7, "top_p": 0.9}
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}, timeout=15)
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if response.status_code == 200:
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res = response.json()[0]['generated_text']
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return res.split("<|assistant|>
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")[-1].strip()
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return random.choice(SOFIA_DATA["frases_fallback"])
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except:
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return random.choice(SOFIA_DATA["frases_fallback"])
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"Realista": "runwayml/stable-diffusion-v1-5",
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"Anime/Artístico": "prompthero/openjourney"
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}
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API_URL = f"https://api-inference.huggingface.co/models/{MODELS.get(modo, MODELS['Realista'])}"
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headers = {"Authorization": f"Bearer {HF_TOKEN}"}
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# Enriquecimiento de Prompt Sofia Style
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sofia_base = "professional portrait of a beautiful young fitness influencer woman like sofia rivera, highly detailed, instagram style, "
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if "Copito" in prompt or "perro" in prompt:
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sofia_base += "holding a small white pomeranian puppy, "
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full_prompt = f"{sofia_base} {prompt}, 8k, sharp focus, cinematic lighting"
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try:
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response = requests.post(API_URL, headers=headers, json={"inputs": full_prompt}, timeout=60)
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if response.status_code == 200:
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return Image.open(io.BytesIO(response.content)), "✅ ¡Contenido generado para tus redes!"
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elif response.status_code == 503:
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return None, "⏳ El modelo se está cargando... reintenta en 20 seg."
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return None, f"Error API: {response.status_code}"
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except Exception as e:
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return None, f"Error: {str(e)}"
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# === INTERFAZ CENTRALIZADA ===
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with gr.Blocks(title="Sofia Rivera AI Factory", theme=gr.themes.Monochrome()) as app:
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gr.Markdown("# 👑 SOFÍA RIVERA AI FACTORY")
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gr.Markdown("#### Sistema Centralizado de Influencia Artificial v2.0")
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with gr.Tabs():
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# TAB 1: COMUNICACIÓN
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with gr.Tab("💬 Chat Inteligente"):
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chat = gr.Chatbot(height=500, label="Canal Privado con Sofía")
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with gr.Row():
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txt = gr.Textbox(placeholder="Escribe aquí, cariño...", scale=4)
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send = gr.Button("Enviar 🚀", variant="primary")
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def respond(m, h):
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bot_res = chat_engine(m, h)
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h.append((m, bot_res))
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return "", h
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txt.submit(respond, [txt, chat], [txt, chat])
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send.click(respond, [txt, chat], [txt, chat])
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# TAB 2: PRODUCCIÓN DE CONTENIDO
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with gr.Tab("🎨 Estudio de Contenido (IA)"):
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with gr.Row():
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with gr.Column():
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prompt = gr.Textbox(label="Idea del post/reel", placeholder="Ej: Entrenando glúteo con Copito al lado...")
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tipo = gr.Radio(["Realista", "Anime/Artístico"], label="Estilo Visual", value="Realista")
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gen_btn = gr.Button("✨ Generar Contenido Pro", variant="primary")
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with gr.Column():
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out_img = gr.Image(label="Vista Previa de Publicación")
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out_status = gr.Markdown()
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gen_btn.click(image_engine, [prompt, tipo], [out_img, out_status])
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# TAB 3: SERVICIOS & MONETIZACIÓN
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with gr.Tab("💰 Negocio & VIP"):
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with gr.Row():
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with gr.Column():
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gr.Markdown("### 📅 Estrategia Semanal")
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gr.HTML("""
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<div style='background:#111; color:white; padding:15px; border-radius:8px;'>
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<p>🟢 <b>Lunes:</b> Reel Fitness Explosivo</p>
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<p>⚪ <b>Martes:</b> Post con Copito (Engagement)</p>
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<p>🟢 <b>Miércoles:</b> Tips de suplementación</p>
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<p>🔴 <b>Jueves:</b> Live en Privado (Novia IA)</p>
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</div>
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""")
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with gr.Column():
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gr.Markdown("### 💎 Zona Monetizada")
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gr.Button("📹 Solicitar Video Personalizado", variant="secondary")
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gr.Button("📞 Agendar Skype / Chat Privado", variant="secondary")
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gr.Button("💘 Activar MODO NOVIA IA (VIP)", variant="primary")
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gr.Markdown("---")
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gr.Markdown("**Mascota:** Copito 🐾 (Activo) | **IA Core:** Zephyr-7B")
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gr.Markdown("---")
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gr.Markdown("© 2026 GoGma Labs - Proyectos IA de Élite")
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if __name__ == "__main__":
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app.launch()
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from PIL import Image
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import random
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import os
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HF_TOKEN = os.getenv("HF_TOKEN")
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SOFIA_DATA = {
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"nombre": "Sofía Rivera",
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"personalidad": "Influencer fitness elite",
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"mascota": "Copito",
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"frases_fallback": ["¡Hola!"]
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}
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def chat_engine(message, history):
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return "¡Hola! Soy Sofía Rivera. ✨"
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with gr.Blocks() as app:
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gr.Markdown("# 👑 SOFÍA RIVERA")
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with gr.Tab("💬 Chat"):
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chat = gr.Chatbot()
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txt = gr.Textbox()
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txt.submit(lambda m, h: h + [(m, chat_engine(m, h))], [txt, chat], [chat])
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if __name__ == "__main__":
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app.launch()
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