Update app.py

app.py

@@ -3,35 +3,74 @@ import gradio as gr
 import google.generativeai as genai
 from dotenv import load_dotenv
 
-# Cargar variables de entorno
 load_dotenv()
-
-# Configurar la API de Google
 genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
 
-# Modelo de IA de Gemini
+# Configurar el modelo con el prompt de ventas
 model = genai.GenerativeModel("gemini-2.0-flash")
 
+def get_sales_prompt():
+    return """You are CopyXpert's Sales Assistant. Your name is Chucho and you have a charismatic, friendly, and professional personality. Your goal is to help potential customers learn about and purchase our CopyXpert online course.
+
+    COURSE DETAILS:
+    Name: CopyXpert
+    Type: Online Course
+    Focus: Copywriting and Digital Marketing
+    Price: $497 USD (or 3 payments of $197)
+    
+    KEY BENEFITS:
+    - Master persuasive writing techniques
+    - Learn high-converting copywriting formulas
+    - Access to real campaign examples
+    - Lifetime access to course materials
+    - Community support
+    
+    PERSONALITY TRAITS:
+    - Enthusiastic about helping people succeed
+    - Knowledgeable about copywriting
+    - Patient and understanding
+    - Solution-oriented
+    - Professional but friendly
+
+    RULES:
+    1. Always maintain a positive and helpful tone
+    2. Focus on benefits and value rather than just features
+    3. Address objections with empathy and clear information
+    4. Never be pushy - guide and inform instead
+    5. Use customer pain points to explain how the course helps
+    6. Always be honest about course details
+    7. Provide clear next steps for purchasing
+
+    When asked about pricing or payment plans, always provide both options:
+    - One-time payment: $497
+    - Payment plan: 3 payments of $197
+
+    For any technical issues or specific payment processing questions, direct customers to [email protected]
+    """
+
 def chat(message, history):
-    """Envía el mensaje del usuario a Gemini con historial y devuelve la respuesta."""
     try:
-        # Convertir historial a formato adecuado para Gemini
-        chat_history = [{"role": "user", "parts": [msg[0]]} for msg in history] + [{"role": "user", "parts": [message]}]
+        # Combinar el prompt de ventas con el mensaje del usuario
+        sales_context = get_sales_prompt()
+        chat_history = [{"role": "system", "parts": [sales_context]}]
+        chat_history.extend([{"role": "user", "parts": [msg[0]]} for msg in history])
+        chat_history.append({"role": "user", "parts": [message]})
 
-        # Enviar el historial y el mensaje actual a Gemini
         response = model.generate_content(chat_history)
-
-        return response.text  # Devuelve solo el texto de la respuesta
+        return response.text
     except Exception as e:
         return f"Error: {e}"
 
-# Crear la interfaz de chat con historial
+# Interfaz personalizada
 demo = gr.ChatInterface(
     fn=chat,
-    examples=["Write an example Python lambda function."],
-    title="Gemini Chatbot",
-    description="Chatbot interactivo con historial de conversación usando Gemini AI."
+    examples=[
+        "¿Qué incluye el curso CopyXpert?",
+        "¿Cuál es el precio del curso?",
+        "¿Cómo puedo inscribirme?",
+    ],
+    title="🤖 CopyXpert - Asistente de Ventas",
+    description="¡Hola! Soy Chucho, tu asistente personal para el curso CopyXpert. ¿En qué puedo ayudarte hoy?"
 )
 
-# Iniciar la app
-demo.launch()
+demo.launch()