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CTA_Maker_3G
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from dotenv import load_dotenv
import streamlit as st
import os
import google.generativeai as genai
from cta_formulas import cta_formulas
from styles import apply_styles

# Cargar variables de entorno
load_dotenv()

# Configurar API de Google Gemini
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

def get_gemini_response(product_service, target_audience, desired_action, formula_type, temperature):
    if not product_service or not target_audience or not desired_action:
        return "Por favor, completa todos los campos requeridos."
    
    formula = cta_formulas[formula_type]
    
    model = genai.GenerativeModel('gemini-2.0-flash')
    full_prompt = f"""
    You are an expert copywriter specialized in creating persuasive Calls to Action (CTAs).
    Analyze (internally, don't include in output) the following information:

    BUSINESS INFORMATION:
    Product/Service: {product_service}
    Target Audience: {target_audience}
    Desired Action: {desired_action}
    CTA Type: {formula_type}
    {formula["description"]}

    EXAMPLES TO FOLLOW:
    {formula["examples"]}

    First, analyze (but don't show) these points:
    1. TARGET AUDIENCE ANALYSIS:
       - What motivates them to take action?
       - What obstacles prevent them from acting?
       - What immediate benefits are they seeking?
       - What fears or doubts do they have?
       - What language and tone resonates with them?

    2. PERSUASION ELEMENTS:
       - How to make the desired action more appealing?
       - What emotional triggers will resonate most?
       - How to create a sense of urgency naturally?
       - What unique value proposition to emphasize?
       - How to minimize perceived risk?

    Based on your internal analysis, create FIVE different CTAs following EXACTLY the formula structure:
    {formula["description"]}
    
    CRITICAL INSTRUCTIONS:
    - Follow the exact formula structure shown in the description above
    - Create FIVE different CTAs using the same formula pattern
    - ALL CTAs MUST BE IN SPANISH
    
    Use these examples as reference for the formula structure:
    {formula["examples"]}
    Output EXACTLY in this format based on {formula_type}:
    1. Follow format from {formula["examples"]}
    
    2. Follow format from {formula["examples"]}
    
    3. Follow format from {formula["examples"]}
    """
    
    response = model.generate_content([full_prompt], generation_config={"temperature": temperature})
    return response.parts[0].text if response and response.parts else "Error al generar contenido."

# Configurar la aplicación Streamlit
st.set_page_config(page_title="CTA Generator", page_icon="🎯", layout="wide")

# Aplicar estilos
st.markdown(apply_styles(), unsafe_allow_html=True)

# Título de la app
st.markdown("<h1>Generador de CTAs Persuasivos</h1>", unsafe_allow_html=True)
st.markdown("<h3>Crea llamados a la acción que motiven a tu audiencia a dar el siguiente paso.</h3>", unsafe_allow_html=True)

# Crear dos columnas
col1, col2 = st.columns([1, 1])

# Columna izquierda para inputs
with col1:
    target_audience = st.text_area(
        "¿Cuál es tu público objetivo?",
        placeholder="Ejemplo: Emprendedores que buscan automatizar su negocio..."
    )
    
    product_service = st.text_area(
        "¿Cuál es tu producto o servicio?",
        placeholder="Ejemplo: Curso de automatización con IA, Software de gestión..."
    )
    
    desired_action = st.text_area(
        "¿Qué acción quieres que realicen?",
        placeholder="Ejemplo: Registrarse al webinar, Descargar la guía gratuita..."
    )
    
    with st.expander("Opciones avanzadas"):
        formula_type = st.selectbox(
            "Tipo de CTA:",
            options=list(cta_formulas.keys())
        )
        
        temperature = st.slider(
            "Nivel de creatividad:",
            min_value=0.0,
            max_value=2.0,
            value=1.0,
            step=0.1,
            help="Valores más altos generan CTAs más creativos pero menos predecibles."
        )
    
    generate_button = st.button("Generar CTAs")

# Columna derecha para resultados
with col2:
    if generate_button and (response := get_gemini_response(
        product_service,
        target_audience,
        desired_action,
        formula_type,
        temperature
    )):
        st.markdown("### Tus Llamados a la Acción")
        st.write(response)