app.py

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
from tone_formulas import tone_settings

# 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, tone_type, temperature, postdata_theme=None, cta_count=5, story_context=None):
    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]
    tone = tone_settings[tone_type]
    
    # Lista de fórmulas que ya incluyen P.D. en su estructura
    formulas_with_pd = ["El Último Aviso (No tan Último)", "Cierra con Corazón", "Gancho Cachondo"]
    
    # Preparar información de postdata
    postdata_instruction = ""
    if postdata_theme:
        # Solo aplicar la instrucción de postdata si la fórmula tiene PD en su estructura
        if formula_type in formulas_with_pd:
            postdata_instruction = f"""
            POSTDATA THEME:
            Use the following theme for the P.S. section: {postdata_theme}
            
            IMPORTANT: For formulas with P.S.2 sections, use a DIFFERENT theme or approach than the one used in P.S.1.
            DO NOT repeat the same urgency factor, benefit, or discount information in both postdatas.
            
            Examples:
            - If P.S.1 mentions "only 2 days left", P.S.2 should NOT mention time limits again
            - If P.S.1 talks about "limited spots", P.S.2 should focus on a different benefit or feature
            
            Make sure each postdata adds unique value and persuasion elements.
            """
    
    # Preparar información de contexto/historia
    story_instruction = ""
    if story_context:
        story_instruction = f"""
        STORY CONTEXT:
        Incorporate elements from the following story/context into your CTAs when appropriate:
        {story_context}
        
        Use this context to make the CTAs more relatable, authentic, and emotionally resonant.
        You can reference specific elements, metaphors, or situations from the story.
        """
    
    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}
    Tone Style: {tone['style']}
    Keywords to consider: {', '.join(tone['keywords'])}
    {formula["description"]}
    {postdata_instruction}
    {story_instruction}

    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 {cta_count} different CTAs following EXACTLY the formula structure:
    {formula["description"]}
    
    CRITICAL INSTRUCTIONS:
    - Follow the exact formula structure shown in the description above
    - Create {cta_count} different CTAs using the same formula pattern
    - ALL CTAs MUST BE IN SPANISH
    - DO NOT add postdata (P.S.) to formulas that don't include it in their structure
    - When a formula includes multiple postdatas (P.S.1 and P.S.2), make sure they focus on DIFFERENT themes and don't repeat the same urgency factors or benefits
    - If a story context was provided, weave elements from it naturally into the CTAs
    
    EXAMPLES TO FOLLOW:
    {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")

# Leer y mostrar el manual en el sidebar
with open("manual.md", "r", encoding="utf-8") as file:
    manual_content = file.read()
st.sidebar.markdown(manual_content)

# 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)

# Remove the duplicate manual expander from here

# Crear dos columnas
col1, col2 = st.columns([0.4, 0.6])  # 40% for left column, 60% for right column

# 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..."
    )
    
    # Mover el botón aquí, antes del acordeón
    generate_button = st.button("Generar CTAs")
    
    with st.expander("Opciones avanzadas"):
        formula_type = st.selectbox(
            "Tipo de CTA:",
            options=list(cta_formulas.keys())
        )
        
        tone_type = st.selectbox(
            "Tono del CTA:",
            options=list(tone_settings.keys()),
        )
        
        # Nuevos campos para postdata
        postdata_theme = st.text_input(
            "Tema o enfoque para la postdata (opcional)",
            placeholder="Ejemplo: urgencia, beneficio, descuento"
        )
        
        # Mover el campo de historia aquí, después del tema de postdata
        story_context = st.text_area(
            "Historia o contexto (opcional)",
            placeholder="Ejemplo: Escribe el texto para crear una P.D. más específica a tus requerimientos"
        )
        
        cta_count = st.number_input(
            "Número de llamados a la acción",
            min_value=1,
            max_value=5,
            value=3
        )
        
        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."
        )

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