import os
import streamlit as st
import json
from streamlit_option_menu import option_menu
from gemini_utility import (load_gemini_pro, gemini_pro_vision_responce)
from PIL import Image

# Configuración de la página
st.set_page_config(
    page_title="GnosticDev AI",
    page_icon="🤖",
    layout="centered",
    initial_sidebar_state="expanded",
)

# Función para guardar el historial en el estado de la sesión
def save_chat_history(history):
    serializable_history = []
    for message in history:
        serializable_history.append({
            "role": message.role,
            "text": message.parts[0].text
        })
    st.session_state.chat_history = serializable_history

# Función para cargar el historial desde el estado de la sesión
def load_chat_history():
    if 'chat_history' in st.session_state:
        try:
            history = st.session_state.chat_history
            model = load_gemini_pro()
            chat = model.start_chat(history=[])
            if st.session_state.system_prompt:
                chat.send_message(st.session_state.system_prompt)
            for message in history:
                if message["role"] != "model" or not message["text"].startswith(st.session_state.system_prompt):
                    chat.send_message(message["text"])
            return chat
        except Exception as e:
            st.error(f"Error cargando el historial: {e}")
    return None

# Inicializar estados
if "system_prompt" not in st.session_state:
    st.session_state.system_prompt = ""

if "chat_history" not in st.session_state:
    st.session_state.chat_history = []

with st.sidebar:
    selected = option_menu(
        "GD AI",
        ["Chatbot", "Image Captioning"],  # Eliminamos "System Prompt"
        menu_icon="robot",
        icons=['chat-dots-fill', 'image-fill'],
        default_index=0
    )
    
    # Botón para borrar historial
    if st.button("Borrar Historial"):
        st.session_state.chat_history = []
        st.session_state.chat_session = None
        st.success("Historial borrado!")

def translate_role_to_streamlit(user_role):
    if user_role == "model":
        return "assistant"
    else:
        return user_role

if selected == "Chatbot":
    model = load_gemini_pro()
    
    # Inicializar o cargar sesión de chat
    if "chat_session" not in st.session_state:
        loaded_chat = load_chat_history()
        if loaded_chat:
            st.session_state.chat_session = loaded_chat
        else:
            st.session_state.chat_session = model.start_chat(history=[])
            if st.session_state.system_prompt:
                st.session_state.chat_session.send_message(st.session_state.system_prompt)

    st.title("Gnosticdev Chatbot")
    
    if st.session_state.system_prompt:
        with st.expander("Ver System Prompt actual"):
            st.info(st.session_state.system_prompt)
    
    # Mostrar historial
    for message in st.session_state.chat_session.history:
        with st.chat_message(translate_role_to_streamlit(message.role)):
            st.markdown(message.parts[0].text)

    # Campo de entrada
    user_prompt = st.chat_input("Preguntame algo...")
    if user_prompt:
        st.chat_message("user").markdown(user_prompt)
        gemini_response = st.session_state.chat_session.send_message(user_prompt)
        with st.chat_message("assistant"):
            st.markdown(gemini_response.text)
        
        # Guardar historial actualizado
        save_chat_history(st.session_state.chat_session.history)

    # Opción para descargar el historial del chat
    if st.button("Descargar Historial del Chat"):
        chat_history = "\n".join([f"{msg['role']}: {msg['text']}" for msg in st.session_state.chat_history])
        st.download_button(
            label="Descargar",
            data=chat_history,
            file_name="historial_chat.txt",
            mime="text/plain"
        )

elif selected == "Image Captioning":
    st.title("Image Caption Generation📸")
    upload_image = st.file_uploader("Upload an image...", type=["jpg", "jpeg", "png"])
    
    if upload_image and st.button("Generate"):
        image = Image.open(upload_image)
        col1, col2 = st.columns(2)
        with col1:
            st.image(image, caption="Uploaded Image", use_column_width=True)
        default_prompt = "Write a caption for this image"
        caption = gemini_pro_vision_responce(default_prompt, image)
        with col2:
            st.info(caption)