Upload app.py

app.py

@@ -1,145 +1,171 @@
-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):
-    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]  # Add this line
-    
-    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"]}
-
-    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")
-
-# 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..."
-    )
-    
-    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()),
-        )
-        
-        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,
-        tone_type,
-        temperature
-    )):
-        st.markdown("### Tus Llamados a la Acción")
+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):
+    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]
+    
+    # Preparar información de postdata si existe
+    postdata_instruction = ""
+    if postdata_theme:
+        postdata_instruction = f"""
+        POSTDATA THEME:
+        Include a P.S. (postdata) after each CTA focusing on: {postdata_theme}
+        The postdata should reinforce the main message and add an extra persuasion element.
+        """
+    
+    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}
+
+    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 {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
+    {postdata_instruction}
+    
+    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")
+
+# 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..."
+    )
+    
+    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",
+            placeholder="Ejemplo: urgencia, beneficio, descuento"
+        )
+        
+        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."
+        )
+    
+    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,
+        tone_type,
+        temperature,
+        postdata_theme,
+        cta_count
+    )):
+        st.markdown("### Tus Llamados a la Acción")
         st.write(response)