Update app.py

app.py

@@ -10,26 +10,20 @@ load_dotenv()
 # Configurar la API de Google
 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"]
+# Función para obtener una llamada a la acción de manera probabilística
+def get_random_call_to_action():
+    actions = ["Directo", "Sutil", "Indirecto"]
     probabilities = [0.34, 0.33, 0.33]  
-    return random.choices(mentions, probabilities)[0]
-
-# Crear la instrucción de mención basada en la opción seleccionada
-def get_mention_instruction(product_mention, product):
-    if product_mention == "Directa":
-        return f"""
-        Directly introduce the product '{product}' as the clear solution to the problem the reader is facing. Ensure that the product is presented in a way that highlights its key benefits and demonstrates how it directly addresses the issue at hand. The mention should feel natural and seamlessly integrated into the narrative.
-        """
-    elif product_mention == "Indirecta":
-        return f"""
-        Subtly reference the product '{product}' as a potential solution to the reader's problem without naming it explicitly. Weave the product's core benefits into the description of how the reader can overcome the issue, creating an implicit connection between the solution and the product. Ensure the mention is subtle but clear enough to guide the reader towards the product.
-        """
-    elif product_mention == "Metafórica":
-        return f"""
-        Introduce the product '{product}' using a metaphor, connecting it symbolically to the solution the reader needs. The metaphor should relate to the problem being discussed and should creatively suggest how the product offers a resolution without explicitly stating its name. The metaphor should evoke the benefits of the product in a memorable and thought-provoking way.
-        """
+    return random.choices(actions, probabilities)[0]
+
+# Crear la instrucción para la llamada a la acción según la opción seleccionada
+def get_call_to_action_instruction(action_call):
+    if action_call == "Directo":
+        return "Incorporate a clear and direct call to action that motivates the reader to act immediately. The call should be compelling and highlight the urgency of taking action."
+    elif action_call == "Sutil":
+        return "Suggest a call to action subtly, hinting at the benefits of acting without being too obvious. The reader should feel like they are making the decision on their own."
+    elif action_call == "Indirecto":
+        return "Present a call to action indirectly, creating a scenario where the reader can see the action as a natural solution to their problems without naming it explicitly."
     return ""
 
 # System Prompt - Instrucción en inglés para el modelo
@@ -39,9 +33,9 @@ Generate unusual, creative, and fascinating bullets that capture readers' attent
 """
 
 # Función para obtener una cantidad de bullets
-def get_gemini_response_bullets(target_audience, product, num_bullets, creativity):
-    product_mention = get_random_product_mention()
-    mention_instruction = get_mention_instruction(product_mention, product)  # Define aquí
+def get_gemini_response_bullets(target_audience, num_bullets, creativity):
+    action_call = get_random_call_to_action()  # Obtener la llamada a la acción aleatoria
+    call_to_action_instruction = get_call_to_action_instruction(action_call)  # Definir la instrucción aquí
     model_choice = "gemini-1.5-flash"  # Modelo por defecto
 
     model = genai.GenerativeModel(model_choice)
@@ -72,18 +66,11 @@ def get_gemini_response_bullets(target_audience, product, num_bullets, creativit
     if response and response.parts:
         return response.parts[0].text
     else:
-        raise ValueError("Lo sentimos, intenta con una combinación diferente de entradas.")
+        raise ValueError("Lo siento, intenta con una combinación diferente de valores.")
 
 # Inicializar la aplicación Streamlit
 st.set_page_config(page_title="Generador de Bullets", layout="wide")
 
-# Inicializar el estado de la expansión del acordeón
-if "accordion_expanded" not in st.session_state:
-    st.session_state["accordion_expanded"] = False
-
-def toggle_accordion():
-    st.session_state["accordion_expanded"] = not st.session_state["accordion_expanded"]
-
 # Centrar el título y el subtítulo
 st.markdown("<h1 style='text-align: center;'>Generador de Bullets</h1>", unsafe_allow_html=True)
 st.markdown("<h4 style='text-align: center;'>Crea bullets efectivos que conecten emocionalmente con tu audiencia.</h4>", unsafe_allow_html=True)
@@ -120,7 +107,7 @@ with col1:
     product = st.text_input("¿Qué producto tienes en mente?")
     
     # Campos de personalización sin acordeón
-    num_bullets = st.slider("Número de Bullets", min_value=1, max_value=15, value=5)
+    num_bullets = st.slider("Número de Bullets", min_value=1, max_value=10, value=5)
     creativity = st.selectbox("Creatividad", ["Alta", "Media", "Baja"])
 
     # Botón de enviar
@@ -128,13 +115,13 @@ with col1:
 
 # Mostrar los bullets generados
 if submit:
-    if target_audience and product:
+    if target_audience:
         try:
             # Obtener la respuesta del modelo
-            generated_bullets = get_gemini_response_bullets(target_audience, product, num_bullets, creativity)
+            generated_bullets = get_gemini_response_bullets(target_audience, num_bullets, creativity)  # Sin mención del producto
             col2.markdown(f"""
                 <div style="border: 1px solid #000000; padding: 5px; border-radius: 8px; background-color: #ffffff;">
-                    <h4>Aquí están tus bullets:</h4>
+                    <h4>Mira la magia:</h4>
                     <p>{generated_bullets}</p>
                 </div>
             """, unsafe_allow_html=True)