import gradio as gr import anthropic import os # Importa el módulo os para manejar variables de entorno # Obtén la clave de API desde la variable de entorno api_key = os.getenv("ANTHROPIC_API_KEY") # Verifica si la clave de API está configurada if not api_key: raise ValueError("Falta la clave de API de Anthropoid. Asegúrate de configurarla en los secretos del repositorio.") # Configura el cliente de la API de Claude (Anthropic) client = anthropic.Anthropic(api_key=api_key) def generate_headlines(number_of_headlines, target_audience, product): # Llama a la API de Claude para generar titulares message = client.messages.create( model="claude-3-5-sonnet-20240620", max_tokens=1000, temperature=0, system="You are a world-class copywriter, with experience in creating hooks, headlines, and subject lines that immediately capture attention. Your skill lies in deeply understanding the emotions, desires, and challenges of a specific audience, allowing you to design personalized marketing strategies that resonate and motivate action. You know how to use proven structures to attract your target audience, generating interest and achieving a powerful connection that drives desired results in advertising and content campaigns.\n\nAnswer in Spanish.", messages=[ { "role": "user", "content": [ { "type": "text", "text": f"Generate {number_of_headlines} attention-grabbing headlines designed for {target_audience} to generate interest in {product}. Each headline should be crafted to encourage a specific action, such as making a purchase, signing up, or downloading. Use a variety of formats (questions, bold statements, intriguing facts) to test different approaches." } ] } ] ) # Extrae el contenido de texto limpio content = message.content return content # Configura la interfaz de usuario con Gradio def gradio_generate_headlines(number_of_headlines, target_audience, product): # Obtiene el texto limpio de los titulares generados result = generate_headlines(number_of_headlines, target_audience, product) # Formatea el texto para que aparezca como Markdown return f"Estos son los {number_of_headlines} titulares atractivos diseñados específicamente para el público objetivo que describiste:\n\n{result}" # Define los colores de la interfaz según el logo de Anthropic (ejemplo) logo_colors = { "background": "#f8f8f8", "primary": "#2c7be5", "text_color": "#212529" } with gr.Blocks(css=""" .gradio-container { background-color: """ + logo_colors["background"] + """; } .input-col, .result-col { display: flex; flex-direction: column; } .result-col { align-items: flex-end; } @media (max-width: 768px) { .gradio-column { width: 100% !important; margin-bottom: 20px; } } @media (min-width: 769px) { .gradio-row { display: flex; flex-wrap: wrap; } .gradio-column { flex: 1; padding: 10px; } } """) as demo: gr.Markdown( f"""
Usa el poder de Claude AI para crear titulares atractivos
""" ) with gr.Row(): with gr.Column(scale=2, elem_id="input-col"): number_of_headlines = gr.Number(label="Número de Titulares", value=5) target_audience = gr.Textbox(label="Público Objetivo", placeholder="Ejemplo: Estudiantes Universitarios") product = gr.Textbox(label="Producto", placeholder="Ejemplo: Curso de Inglés") with gr.Column(scale=1, elem_id="result-col"): submit_btn = gr.Button("Generar Titulares", elem_id="submit-btn") output = gr.Textbox(label="Titulares Generados", lines=10) submit_btn.click( fn=gradio_generate_headlines, inputs=[number_of_headlines, target_audience, product], outputs=output ) # Lanza la interfaz demo.launch()