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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
import time
# Configuraci贸n de la p谩gina
st.set_page_config(
page_title="GnosticDev AI",
page_icon="馃",
layout="centered",
initial_sidebar_state="expanded",
)
# Archivo para almacenamiento permanente
PROMPTS_FILE = "training_prompts.json"
# Funciones para manejar el almacenamiento permanente
def load_prompts():
try:
if os.path.exists(PROMPTS_FILE):
with open(PROMPTS_FILE, 'r', encoding='utf-8') as file:
return json.load(file)
except Exception as e:
st.error(f"Error cargando prompts: {e}")
return {"prompts": [], "current_prompt": ""}
def save_prompts(prompts_data):
try:
with open(PROMPTS_FILE, 'w', encoding='utf-8') as file:
json.dump(prompts_data, file, ensure_ascii=False, indent=2)
except Exception as e:
st.error(f"Error guardando prompts: {e}")
# Inicializaci贸n de datos
if 'prompts_data' not in st.session_state:
st.session_state.prompts_data = load_prompts()
with st.sidebar:
selected = option_menu(
"GD AI",
["System Prompts", "Chatbot", "Image Captioning"],
menu_icon="robot",
icons=['gear', 'chat-dots-fill', 'image-fill'],
default_index=0
)
if selected == "System Prompts":
st.title("Gesti贸n de System Prompts")
# 脕rea para nuevo prompt
new_prompt = st.text_area(
"Nuevo System Prompt",
value="",
height=200,
help="Escribe aqu铆 las nuevas instrucciones para el AI"
)
col1, col2 = st.columns([1, 2])
with col1:
if st.button("A帽adir Nuevo Prompt"):
if new_prompt and new_prompt not in st.session_state.prompts_data["prompts"]:
st.session_state.prompts_data["prompts"].append(new_prompt)
save_prompts(st.session_state.prompts_data)
st.success("Nuevo prompt a帽adido!")
time.sleep(1)
st.rerun()
# Lista de prompts guardados
st.markdown("### Prompts Guardados")
for i, prompt in enumerate(st.session_state.prompts_data["prompts"]):
with st.expander(f"Prompt {i+1}"):
st.text_area("", prompt, height=100, key=f"prompt_{i}", disabled=True)
col1, col2, col3 = st.columns([1, 1, 1])
with col1:
if st.button("Usar este prompt", key=f"use_{i}"):
st.session_state.prompts_data["current_prompt"] = prompt
save_prompts(st.session_state.prompts_data)
if "chat_session" in st.session_state:
del st.session_state.chat_session
st.success("Prompt activado!")
with col2:
if st.button("Editar", key=f"edit_{i}"):
st.session_state.editing_prompt = i
st.session_state.editing_text = prompt
with col3:
if st.button("Eliminar", key=f"delete_{i}"):
st.session_state.prompts_data["prompts"].pop(i)
save_prompts(st.session_state.prompts_data)
st.success("Prompt eliminado!")
time.sleep(1)
st.rerun()
# Mostrar prompt actual
st.markdown("### Prompt Actual")
current_prompt = st.session_state.prompts_data.get("current_prompt", "")
if current_prompt:
st.info(current_prompt)
else:
st.warning("No hay prompt activo")
elif selected == "Chatbot":
model = load_gemini_pro()
# Initialize chat session with current prompt
if "chat_session" not in st.session_state:
st.session_state.chat_session = model.start_chat(history=[])
current_prompt = st.session_state.prompts_data.get("current_prompt")
if current_prompt:
st.session_state.chat_session.send_message(current_prompt)
st.title("Gnosticdev Chatbot")
# Mostrar prompt actual
current_prompt = st.session_state.prompts_data.get("current_prompt")
if current_prompt:
with st.expander("Ver System Prompt actual"):
st.info(current_prompt)
# Display chat history
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)
# Chat input
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)
elif selected == "Image Captioning":
st.title("Image Caption Generation馃摳")
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) |