Update app.py
Browse files
app.py
CHANGED
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@@ -1,5 +1,6 @@
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import os
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import streamlit as st
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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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@@ -12,9 +13,39 @@ st.set_page_config(
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initial_sidebar_state="expanded",
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)
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#
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if "system_prompt" not in st.session_state:
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st.session_state.system_prompt = ""
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with st.sidebar:
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selected = option_menu(
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@@ -24,6 +55,14 @@ with st.sidebar:
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icons=['gear', 'chat-dots-fill', 'image-fill'],
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default_index=0
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)
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def translate_role_to_streamlit(user_role):
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if user_role == "model":
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@@ -34,7 +73,6 @@ def translate_role_to_streamlit(user_role):
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if selected == "System Prompt":
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st.title("Configuraci贸n del System Prompt")
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# 脕rea para editar el system prompt
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new_system_prompt = st.text_area(
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"Ingresa las instrucciones para el AI (System Prompt)",
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value=st.session_state.system_prompt,
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@@ -44,11 +82,11 @@ if selected == "System Prompt":
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if st.button("Guardar System Prompt"):
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st.session_state.system_prompt = new_system_prompt
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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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# Mostrar el prompt actual
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if st.session_state.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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@@ -56,31 +94,37 @@ if selected == "System Prompt":
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elif selected == "Chatbot":
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model = load_gemini_pro()
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#
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if "chat_session" not in st.session_state:
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if
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st.session_state.chat_session
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st.title("Gnosticdev Chatbot")
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# Mostrar el system prompt actual en un expander
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if st.session_state.system_prompt:
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with st.expander("Ver System Prompt actual"):
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st.info(st.session_state.system_prompt)
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#
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for message in st.session_state.chat_session.history:
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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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#
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user_prompt = st.chat_input("Preguntame algo...")
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if user_prompt:
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st.chat_message("user").markdown(user_prompt)
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gemini_response = st.session_state.chat_session.send_message(user_prompt)
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with st.chat_message("assistant"):
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st.markdown(gemini_response.text)
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elif selected == "Image Captioning":
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st.title("Image Caption Generation馃摳")
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@@ -94,4 +138,4 @@ elif selected == "Image Captioning":
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default_prompt = "Write a caption for this image"
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caption = gemini_pro_vision_responce(default_prompt, image)
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with col2:
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st.info(caption)
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import os
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import streamlit as st
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import json
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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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initial_sidebar_state="expanded",
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)
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# Funci贸n para guardar el historial en cookies
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def save_chat_history(history):
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# Convertir el historial a un formato serializable
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serializable_history = []
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for message in history:
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serializable_history.append({
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"role": message.role,
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"text": message.parts[0].text
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})
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# Guardar en cookie
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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
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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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history = json.loads(st.session_state.cookie_chat_history)
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model = load_gemini_pro()
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chat = model.start_chat(history=[])
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# Reconstruir el historial
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if st.session_state.system_prompt:
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chat.send_message(st.session_state.system_prompt)
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for message in history:
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if message["role"] != "model" or not message["text"].startswith(st.session_state.system_prompt):
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chat.send_message(message["text"])
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return chat
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except Exception as e:
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st.error(f"Error cargando el historial: {e}")
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return None
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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 = 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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icons=['gear', 'chat-dots-fill', 'image-fill'],
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default_index=0
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)
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# Bot贸n para borrar historial
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if st.button("Borrar Historial"):
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if 'cookie_chat_history' in st.session_state:
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del st.session_state.cookie_chat_history
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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("Historial borrado!")
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def translate_role_to_streamlit(user_role):
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if user_role == "model":
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if selected == "System Prompt":
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st.title("Configuraci贸n del System Prompt")
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new_system_prompt = st.text_area(
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"Ingresa las instrucciones para el AI (System Prompt)",
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value=st.session_state.system_prompt,
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if st.button("Guardar System Prompt"):
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st.session_state.system_prompt = new_system_prompt
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st.session_state.cookie_system_prompt = new_system_prompt # Guardar en cookie
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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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if st.session_state.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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# Inicializar o cargar sesi贸n de chat
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if "chat_session" not in st.session_state:
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loaded_chat = load_chat_history()
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if loaded_chat:
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st.session_state.chat_session = loaded_chat
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else:
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st.session_state.chat_session = model.start_chat(history=[])
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if st.session_state.system_prompt:
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st.session_state.chat_session.send_message(st.session_state.system_prompt)
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st.title("Gnosticdev Chatbot")
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if st.session_state.system_prompt:
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with st.expander("Ver System Prompt actual"):
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st.info(st.session_state.system_prompt)
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# Mostrar historial
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for message in st.session_state.chat_session.history:
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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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# Campo de entrada
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user_prompt = st.chat_input("Preguntame algo...")
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if user_prompt:
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st.chat_message("user").markdown(user_prompt)
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gemini_response = st.session_state.chat_session.send_message(user_prompt)
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with st.chat_message("assistant"):
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st.markdown(gemini_response.text)
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# Guardar historial actualizado
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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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default_prompt = "Write a caption for this image"
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caption = gemini_pro_vision_responce(default_prompt, image)
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with col2:
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st.info(caption)
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