app.py

from dotenv import load_dotenv
import streamlit as st
import os
import google.generativeai as genai
import random  # Nueva importación para la selección aleatoria de mención

load_dotenv()

genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

# Función para obtener una mención del producto de manera probabilística
def get_random_product_mention():
    mentions = ["Directa", "Indirecta", "Metafórica"]
    probabilities = [0.34, 0.33, 0.33]  # Probabilidades de cada mención
    return random.choices(mentions, probabilities)[0]

# Función para obtener una técnica de copywriting de manera aleatoria
def get_random_copywriting_technique():
    techniques = [
        "If/Then: This is one of the most commonly used opening paragraphs. It’s very simple, clear, and powerful.",
        "If / Then + Authority: Adding a figure of authority or credibility to the opening.",
        "Honesty: Being transparent is one of the best ways to get more customers.",
        "Sensationalist: It grabs attention with unusual or provocative statements.",
        "Ask a Question: It makes people stop if they’re interested.",
        "Micro Openings: Keep it brief to encourage further reading."
    ]
    return random.sample(techniques, k=random.randint(1, 3))  # Escoge entre 1 y 3 técnicas al azar

# Al crear el prompt completo, incluye el tamaño y las técnicas seleccionadas
def get_gemini_response(target_audience, product, text_type, length, mood):
    product_mention = get_random_product_mention()
    model_choice = "gemini-1.5-flash"  # Modelo predeterminado

    model = genai.GenerativeModel(model_choice)

    # Obtener técnicas aleatorias
    copywriting_techniques = get_random_copywriting_technique()
    techniques_text = " ".join(copywriting_techniques)

    # Instrucción específica para el tipo de texto
    format_instruction = ""
    if text_type == "Historia":
        format_instruction = f"""
        Write an engaging opening paragraph that introduces a relatable problem your audience is facing. Stir emotions by highlighting the impact of the problem on their life, and create curiosity with hints of a potential solution without revealing everything. The paragraph should be approximately {length} words long to maintain engagement and avoid losing the reader's attention.
        """
    elif text_type == "Carta de venta":
        format_instruction = f"""
        Craft a persuasive lead paragraph for a sales letter that quickly identifies a common pain point your reader is experiencing. The paragraph should be around {length} words long and agitate the problem by emphasizing the negative consequences of not addressing it, and tease the possibility of a solution to spark curiosity.
        """
    elif text_type == "Correo":
        format_instruction = f"""
        Write a concise but impactful opening paragraph for an email that captures the reader’s attention. The text should be approximately {length} words, addressing a challenge they are likely facing, and leave them intrigued by hinting at a valuable solution that will be revealed if they continue reading.
        """
    elif text_type == "Landing page":
        format_instruction = f"""
        Design a compelling first paragraph for a landing page that immediately draws attention to a significant problem your target audience is encountering. The paragraph should be about {length} words long, stirring emotions and enticing them to keep scrolling by subtly suggesting a solution.
        """

    # Crear el prompt completo basado en los campos del frontend
    full_prompt = f"""
    You are a creative writer skilled in the art of persuasion. The tone of the {text_type} should be {mood} and carefully crafted to emotionally resonate with a {target_audience}. {product_mention} {format_instruction} 
    Incorporate the following copywriting techniques: {techniques_text}
    Use persuasive techniques to guide the reader towards an intuitive understanding of the product's benefits, focusing on creating a strong emotional connection with the audience.
    Create an opening paragraph for a {text_type} of {length} words in Spanish, that makes {target_audience} aware they have a problem by explaining it with real-life situations, using a natural or conversational tone. The goal of this paragraph is to make them want to keep reading and find out what {product} is about. Use persuasion effectively in every word, mastering advanced techniques.
    """

    response = model.generate_content([full_prompt])

    # Comprobar si la respuesta es válida y devolver el texto
    if response and response.parts:
        return response.parts[0].text
    else:
        raise ValueError("Lo sentimos, intenta con una combinación diferente de entradas.")

# Inicializar la aplicación Streamlit
st.set_page_config(page_title="VisionTales", layout="wide")
st.title("VisionTales: Crea historias inolvidables con IA")

# Añadir CSS personalizado para el botón
st.markdown("""
    <style>
    div.stButton > button {
        background-color: #FFCC00; /* Color llamativo */
        color: black;  /* Texto en negro */
        width: 90%;
        height: 60px;
        font-weight: bold;
        font-size: 22px; /* Tamaño más grande */
        text-transform: uppercase; /* Texto en mayúsculas */
        border: 1px solid #000000; /* Borde negro de 1px */
        border-radius: 8px;
        display: block;
        margin: 0 auto;  /* Centramos el botón */
    }
    div.stButton > button:hover {
        background-color: #FFD700; /* Color al pasar el mouse */
        color: black;  /* Texto sigue en negro */
    }
    </style>
    """, unsafe_allow_html=True)

# Crear dos columnas para el diseño (40% y 60%)
col1, col2 = st.columns([2, 3])  # 2 + 3 = 5 partes en total

with col1:
    # Crear campos de entrada
    target_audience = st.text_input("¿Quién es tu público objetivo?")
    product = st.text_input("¿Qué producto tienes en mente?")
    text_type = st.selectbox("Tipo de texto", ["Historia", "Carta de venta", "Correo", "Landing page"])
    length = st.slider("Número de palabras", min_value=50, max_value=300, value=150)
    mood = st.selectbox("Tono de voz", ["Conversacional", "Formal", "Emocional", "Persuasivo", "Triste", "Feliz", "Horror", "Comedia", "Romántico"])

# Botón para generar el texto (dentro de la interfaz principal)
if st.button("Escribir mi texto"):
    if target_audience and product:  # Verificar que se haya proporcionado el público objetivo y el producto
        try:
            # Obtener la respuesta del modelo
            generated_text = get_gemini_response(target_audience, product, text_type, length, mood)
            col2.subheader("Contenido generado:")
            col2.write(generated_text)  # Resultado del texto generado
        except ValueError as e:
            col2.error(f"Error: {str(e)}")
    else:
        col2.error("Por favor, proporciona el público objetivo y el producto.")