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Update app.py
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app.py
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@@ -2,6 +2,7 @@ from dotenv import load_dotenv
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import streamlit as st
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import os
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import google.generativeai as genai
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# Cargar variables de entorno
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load_dotenv()
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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# Función para obtener la respuesta del modelo Gemini
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def get_gemini_response(input_prompt,
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if not input_prompt:
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return "Por favor, escribe un mensaje para generar contenido."
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model = genai.GenerativeModel('gemini-2.0-flash')
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full_prompt = f"""
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You are a creative storyteller. Write a {mood}
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Use exactly {length} words.
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Target Audience: {target_audience}
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Call to Action: {cta_type}
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Then, write a story that naturally leads to this benefit.
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Structure:
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1. Introduce a relatable problem that captures the audience's attention
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2. Develop the story with natural narrative and emotional connection
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3. Show consequences of inaction
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4. Present the solution organically
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5. Close with a natural invitation to {cta_type} that shows how it will transform their situation
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- For product purchase: Show how buying transforms their situation
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- For PDF guide: Highlight how the guide provides the knowledge they need
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- For webinar: Emphasize how the live training will help them succeed
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Keep in mind:
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- Write for {target_audience}
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- Use simple, clear language
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- Avoid technical terms or complex words
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- Tell the story in short paragraphs
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- End with a natural {cta_type} invitation
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Example format:
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Make the CTA feel natural and focus on the transformation they'll experience.
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### **Ejemplo de historia bien escrita:**
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En una lejana galaxia, el maestro Xylo dictaba clases en la Tierra.
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Sus métodos eran monótonos, y sus alumnos bostezaban sin parar.
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“¿Por qué no prestan atención?”, se preguntaba.
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Frustrado, investigó y descubrió que el problema no eran los niños, sino sus clases aburridas.
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Por eso decidió cambiar.
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Tomó un curso online para hacer sus lecciones dinámicas y sorprendentes.
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Pronto, sus alumnos rieron, participaron y aprendieron con entusiasmo.
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Si Xylo pudo transformar sus clases, tú también.
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Inscríbete hoy aquí.
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**Importante:**
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- **Haz que la historia sea humana y emocional**, evitando frases promocionales evidentes.
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- Format the output in clear, separate paragraphs with line breaks
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- Only write {genre}, anything else.
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"""
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response = model.generate_content([full_prompt])
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return response.parts[0].text if response and response.parts else "Error al generar contenido."
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# Configurar la aplicación Streamlit
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with col1:
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# Entrada de texto principal
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input_prompt = st.text_area("Escribe de qué quieres que trate la historia:", placeholder="Escribe aquí tu idea...")
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# Campos de texto libre
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target_audience = st.text_input("Público Objetivo:", placeholder="Ejemplo: Profesionales de 25-35 años interesados en tecnología...")
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# CTA como campo de texto libre
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cta_type = st.text_input("Llamado a la acción:", placeholder="Ejemplo: Curso de marketing digital, Guía para emprendedores, Webinar gratuito...")
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# Opciones avanzadas en acordeón
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with st.expander("Opciones avanzadas"):
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length = st.slider("Longitud del texto (palabras):",
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min_value=100,
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max_value=150,
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import streamlit as st
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import os
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import google.generativeai as genai
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from story_formulas import story_formulas
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# Cargar variables de entorno
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load_dotenv()
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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# Función para obtener la respuesta del modelo Gemini
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def get_gemini_response(input_prompt, formula_type, length, mood, target_audience, cta_type):
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if not input_prompt:
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return "Por favor, escribe un mensaje para generar contenido."
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formula = story_formulas[formula_type]
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model = genai.GenerativeModel('gemini-2.0-flash')
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full_prompt = f"""
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You are a creative storyteller. Write a {mood} story in Spanish about "{input_prompt}" using everyday words and natural conversation.
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Use exactly {length} words.
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Target Audience: {target_audience}
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Call to Action: {cta_type}
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Story Formula: {formula_type}
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{formula["description"]}
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Keep in mind:
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- Write for {target_audience}
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- Use simple, clear language
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- Tell the story in short paragraphs
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- End with a natural {cta_type} invitation
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"""
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response = model.generate_content([full_prompt])
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return response.parts[0].text if response and response.parts else "Error al generar contenido."
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# Configurar la aplicación Streamlit
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with col1:
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# Entrada de texto principal
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input_prompt = st.text_area("Escribe de qué quieres que trate la historia:", placeholder="Escribe aquí tu idea...")
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target_audience = st.text_input("Público Objetivo:", placeholder="Ejemplo: Profesionales de 25-35 años...")
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cta_type = st.text_input("Llamado a la acción:", placeholder="Ejemplo: Curso de marketing digital...")
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with st.expander("Opciones avanzadas"):
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formula_type = st.selectbox(
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"Fórmula narrativa:",
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options=list(story_formulas.keys()),
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format_func=lambda x: x
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)
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st.info(story_formulas[formula_type]["description"])
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length = st.slider("Longitud del texto (palabras):",
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min_value=100,
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max_value=150,
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