Update app.py
Browse files
app.py
CHANGED
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@@ -5,7 +5,7 @@ import requests
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import re
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from bs4 import BeautifulSoup
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from streamlit_option_menu import option_menu
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from gemini_utility import (load_gemini_pro, gemini_pro_vision_responce)
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from PIL import Image
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# Setting the page config
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@@ -16,7 +16,35 @@ st.set_page_config(
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initial_sidebar_state="expanded",
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)
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def save_chat_history(history):
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serializable_history = []
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for message in history:
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@@ -26,7 +54,6 @@ def save_chat_history(history):
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})
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st.session_state.cookie_chat_history = json.dumps(serializable_history)
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# Funci贸n para cargar el historial desde cookies (sin cambios)
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def load_chat_history():
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if 'cookie_chat_history' in st.session_state:
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try:
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@@ -43,10 +70,6 @@ def load_chat_history():
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st.error(f"Error cargando el historial: {e}")
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return None
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# Inicializar estados (sin cambios)
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if "system_prompt" not in st.session_state:
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st.session_state.system_prompt = st.session_state.get('cookie_system_prompt', "")
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with st.sidebar:
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selected = option_menu(
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"GD AI",
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@@ -69,7 +92,6 @@ def translate_role_to_streamlit(user_role):
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else:
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return user_role
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def extract_urls(text):
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url_pattern = r"(https?://\S+)"
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urls = re.findall(url_pattern, text)
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@@ -77,7 +99,7 @@ def extract_urls(text):
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def fetch_url_content(url):
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try:
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response = requests.get(url, timeout=10)
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response.raise_for_status()
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return response.text
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except requests.exceptions.RequestException as e:
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@@ -86,19 +108,17 @@ def fetch_url_content(url):
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def process_url_content(content):
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try:
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soup = BeautifulSoup(content, "html.parser")
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# Extrae solo el texto del cuerpo principal, ignorando etiquetas de scripts y estilos
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text = soup.get_text(" ", strip=True)
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return text
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except Exception as e:
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return f"Error al procesar el contenido HTML: {e}"
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def process_urls_in_prompt(prompt):
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urls = extract_urls(prompt)
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new_prompt = prompt
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for url in urls:
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content = fetch_url_content(url)
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if content.startswith("Error"):
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new_prompt = new_prompt.replace(url, content)
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else:
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processed_content = process_url_content(content)
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@@ -117,7 +137,8 @@ if selected == "System Prompt":
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if st.button("Guardar System Prompt"):
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processed_prompt = process_urls_in_prompt(new_system_prompt)
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st.session_state.system_prompt = processed_prompt
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-
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if "chat_session" in st.session_state:
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del st.session_state.chat_session
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st.success("System Prompt actualizado con 茅xito!")
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@@ -126,7 +147,6 @@ if selected == "System Prompt":
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st.markdown("### System Prompt Actual:")
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st.info(st.session_state.system_prompt)
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elif selected == "Chatbot":
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model = load_gemini_pro()
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if "chat_session" not in st.session_state:
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@@ -146,7 +166,7 @@ elif selected == "Chatbot":
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with st.chat_message(translate_role_to_streamlit(message.role)):
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st.markdown(message.parts[0].text)
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user_prompt = st.chat_input("
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if user_prompt:
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processed_user_prompt = process_urls_in_prompt(user_prompt)
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st.chat_message("user").markdown(processed_user_prompt)
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@@ -155,16 +175,30 @@ elif selected == "Chatbot":
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st.markdown(gemini_response.text)
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save_chat_history(st.session_state.chat_session.history)
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elif selected == "Image Captioning":
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st.title("Image Caption Generation馃摳")
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upload_image = st.file_uploader("
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import re
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from bs4 import BeautifulSoup
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from streamlit_option_menu import option_menu
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from gemini_utility import (load_gemini_pro, gemini_pro_vision_responce)
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from PIL import Image
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# Setting the page config
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initial_sidebar_state="expanded",
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)
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CONFIG_FILE = "config.json"
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# Funci贸n para cargar configuraciones desde un archivo JSON
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def load_config():
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if os.path.exists(CONFIG_FILE):
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try:
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with open(CONFIG_FILE, "r") as file:
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return json.load(file)
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except Exception as e:
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st.error(f"Error cargando configuraciones: {e}")
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return {}
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# Funci贸n para guardar configuraciones en un archivo JSON
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def save_config(config):
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try:
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with open(CONFIG_FILE, "w") as file:
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json.dump(config, file, indent=4)
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except Exception as e:
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st.error(f"Error guardando configuraciones: {e}")
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# Cargar configuraciones al inicio
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config = load_config()
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if "system_prompt" not in config:
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config["system_prompt"] = ""
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# Inicializar estados
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if "system_prompt" not in st.session_state:
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st.session_state.system_prompt = config["system_prompt"]
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def save_chat_history(history):
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serializable_history = []
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for message in history:
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})
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st.session_state.cookie_chat_history = json.dumps(serializable_history)
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def load_chat_history():
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if 'cookie_chat_history' in st.session_state:
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try:
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st.error(f"Error cargando el historial: {e}")
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return None
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with st.sidebar:
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selected = option_menu(
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"GD AI",
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else:
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return user_role
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def extract_urls(text):
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url_pattern = r"(https?://\S+)"
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urls = re.findall(url_pattern, text)
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def fetch_url_content(url):
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try:
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response = requests.get(url, timeout=10)
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response.raise_for_status()
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return response.text
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except requests.exceptions.RequestException as e:
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def process_url_content(content):
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try:
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soup = BeautifulSoup(content, "html.parser")
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text = soup.get_text(" ", strip=True)
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return text
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except Exception as e:
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return f"Error al procesar el contenido HTML: {e}"
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def process_urls_in_prompt(prompt):
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urls = extract_urls(prompt)
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new_prompt = prompt
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for url in urls:
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content = fetch_url_content(url)
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if content.startswith("Error"):
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new_prompt = new_prompt.replace(url, content)
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else:
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processed_content = process_url_content(content)
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if st.button("Guardar System Prompt"):
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processed_prompt = process_urls_in_prompt(new_system_prompt)
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st.session_state.system_prompt = processed_prompt
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config["system_prompt"] = processed_prompt
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save_config(config)
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if "chat_session" in st.session_state:
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del st.session_state.chat_session
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st.success("System Prompt actualizado con 茅xito!")
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st.markdown("### System Prompt Actual:")
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st.info(st.session_state.system_prompt)
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elif selected == "Chatbot":
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model = load_gemini_pro()
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if "chat_session" not in st.session_state:
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with st.chat_message(translate_role_to_streamlit(message.role)):
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st.markdown(message.parts[0].text)
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user_prompt = st.chat_input("Preg煤ntame algo...")
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if user_prompt:
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processed_user_prompt = process_urls_in_prompt(user_prompt)
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st.chat_message("user").markdown(processed_user_prompt)
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st.markdown(gemini_response.text)
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save_chat_history(st.session_state.chat_session.history)
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elif selected == "Image Captioning":
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st.title("Image Caption Generation馃摳")
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upload_image = st.file_uploader("Sube una imagen...", type=["jpg", "jpeg", "png"])
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if upload_image and st.button("Generar"):
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try:
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# Cargar y mostrar la imagen
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image = Image.open(upload_image)
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col1, col2 = st.columns(2)
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with col1:
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st.image(image, caption="Imagen subida", use_column_width=True)
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# Generar un subt铆tulo usando una funci贸n de visi贸n AI
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default_prompt = "Escribe un subt铆tulo para esta imagen"
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caption = gemini_pro_vision_responce(default_prompt, image)
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# Mostrar el resultado
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with col2:
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st.info(caption)
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except Exception as e:
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st.error(f"Error procesando la imagen: {e}")
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# Mensaje por defecto si ninguna secci贸n est谩 seleccionada
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else:
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st.write("Selecciona una opci贸n en el men煤 para comenzar.")
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