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Update app.py
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app.py
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import streamlit as st
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import google.generativeai as genai
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import os
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import
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# Cargar variables de entorno
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load_dotenv()
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genai.configure(api_key=os.getenv("GEMINI_API_KEY"))
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#
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def
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#
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"
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"max_output_tokens": 2048,
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"response_mime_type": "text/plain",
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}
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{
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"
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"
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"Para escribir este párrafo de apertura utiliza una o algunas de estas técnicas de Apertura para Cartas de Ventas, escoge las más adecuadas:"
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"1. Si.. Entonces"
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"2. Si / Entonces + Autoridad"
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"3. Honestidad"
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"4. Sensacionalista"
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"5. Haz una pregunta"
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"6. 'Micro aperturas'"
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],
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},
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]
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#
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st.
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#
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#
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if
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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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from PIL import Image
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load_dotenv()
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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# Function to get response from Gemini model
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def get_gemini_response(input_prompt, image_data, genre, length, language, mood):
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model = genai.GenerativeModel('gemini-1.5-flash')
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# If both image and text are provided
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if image_data and input_prompt:
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full_prompt = f"""
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You are a famous creative writer. Look at the image provided and also consider the following prompt: "{input_prompt}".
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Create a {length} {genre} in {language}. The {genre} should be {mood}, based on both the image and the prompt, and contain realistic and emotional elements.
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"""
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response = model.generate_content([full_prompt, image_data[0]])
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# If only image is provided
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elif image_data:
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full_prompt = f"""
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You are a famous creative writer. Look at the image provided and create a {length} {genre} in {language}.
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The {genre} should be {mood}. The {genre} should be based on the image and contain realistic and emotional elements.
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"""
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response = model.generate_content([full_prompt, image_data[0]])
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# If only text is provided
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elif input_prompt:
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full_prompt = f"""
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You are a creative writer. Create a {length} {genre} in {language}. The {genre} should be {mood}. The {genre} should be based on the following prompt:
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"{input_prompt}"
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Make sure it contains realistic and emotional elements.
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"""
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response = model.generate_content([full_prompt])
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# If neither image nor text is provided
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else:
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raise ValueError("Please provide either an image or a text prompt.")
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# Check if response is valid and return text
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if response and response.parts:
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return response.parts[0].text
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else:
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raise ValueError("Sorry, please try a different combination of inputs.")
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# Function to setup uploaded image
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def input_image_setup(uploaded_file):
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if uploaded_file is not None:
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bytes_data = uploaded_file.getvalue()
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image_parts = [
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{
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"mime_type": uploaded_file.type,
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"data": bytes_data
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}
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]
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return image_parts
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else:
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return None
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# Initialize Streamlit app
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st.set_page_config(page_title="Poetic Vision", page_icon=":pencil:", layout="wide") # Set layout to wide
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# Main UI components
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st.markdown("<h1 style='text-align: center;'>VisionTales</h1>", unsafe_allow_html=True)
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st.markdown("<h3 style='text-align: center;'>Convierte tus ideas en historias inolvidables.</h3>", unsafe_allow_html=True)
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# Add custom CSS for the button
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st.markdown("""
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<style>
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div.stButton > button {
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background-color: #FFCC00; /* Color llamativo */
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color: black; /* Texto en negro */
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width: 90%;
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height: 60px;
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font-weight: bold;
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font-size: 22px; /* Tamaño más grande */
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text-transform: uppercase; /* Texto en mayúsculas */
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border: 1px solid #000000; /* Borde negro de 1px */
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border-radius: 8px;
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display: block;
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margin: 0 auto; /* Centramos el botón */
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}
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div.stButton > button:hover {
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background-color: #FFD700; /* Color al pasar el mouse */
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color: black; /* Texto sigue en negro */
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}
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</style>
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""", unsafe_allow_html=True)
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# Create two columns for layout (40% and 60%)
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col1, col2 = st.columns([2, 3]) # 2 + 3 = 5 parts total
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with col1:
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# Subir imagen primero
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uploaded_file = st.file_uploader("Elegir una imagen...", type=["jpg", "jpeg", "png"])
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# Agrupar opciones en un desplegable con un nuevo título
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with st.expander("Clic para personalizar tu historia", expanded=False): # El desplegable está cerrado por defecto
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input_prompt = st.text_input("Escribe de qué quieres que trate tu historia (opcional):", placeholder="Escribe tu mensaje aquí...")
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genre = st.selectbox("Tipo de texto:", ["Historia", "Shayari", "Sher", "Poema", "Cita"])
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length = st.selectbox("Longitud del texto:", ["Corto", "Largo"])
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language = st.selectbox("Idioma del texto:", ["Inglés", "Español"])
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mood = st.selectbox("Estado de ánimo:", ["Emocional", "Triste", "Feliz", "Horror", "Comedia", "Romántico"])
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# Generate button con el nuevo estilo, centrado y ajustado
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submit = st.button("Escribir mi historia")
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# Display uploaded image
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if uploaded_file is not None:
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image = Image.open(uploaded_file)
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col1.image(image, caption="Imagen subida", use_column_width=True)
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# Handling the button click
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if submit:
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if uploaded_file or input_prompt:
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try:
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image_data = input_image_setup(uploaded_file)
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response = get_gemini_response(input_prompt, image_data, genre, length, language, mood)
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col2.subheader("Contenido generado:")
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col2.write(response)
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except ValueError as e:
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col2.error(f"Error: {str(e)}")
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else:
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col2.error("Por favor, sube una imagen o proporciona un mensaje.")
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