# import streamlit as st
# from langchain_core.messages import HumanMessage, AIMessage
# from get_classification import get_graph_class
# from datetime import datetime


# def message_to_dict(messages):
#     result = []
#     for message in messages:
#         if isinstance(message, HumanMessage) or isinstance(message, AIMessage):
#             print("message:", message.content)
#         if message.content == "" or message.content is None:
#             continue
#         if isinstance(message, HumanMessage):
#             result.append({"role": "user", "content": message.content})
#         elif isinstance(message, AIMessage):
#             result.append({"role": "assistant", "content": message.content})
#     print("-" * 100)
#     return result


# def find_last_bot_message(messages):
#     """Находит последнее сообщение бота"""
#     for message in messages[::-1]:
#         if isinstance(message, AIMessage) and len(message.content) > 0:
#             return message.content
#     return None


# def display_chat_messages():
#     """Отображает историю сообщений в чате"""
#     for message in st.session_state.messages:
#         with st.chat_message(message["role"]):
#             st.markdown(message["content"])


# def save_broken_case():
#     messages_dict = st.session_state.messages
#     result_str = ""
#     for elem in messages_dict:
#         role = elem["role"]
#         content = elem["content"]
#         result_str += f"{role}: {content}\n"
    
#     current_datetime = datetime.now()
#     formatted_datetime = current_datetime.strftime("%Y-%m-%d %H:%M:%S")

#     with open("/Users/admin/my_documents/retrieval_part/services/broken_cases.txt", "a") as file:
#         file.write(f"{formatted_datetime}\n" + result_str + "\n" + "-" * 50 + "\n\n")


# def handle_user_input():
#     """Обрабатывает ввод пользователя и генерирует ответ бота"""
#     if prompt := st.chat_input("Введите ваш вопрос"):
#         st.session_state.messages.append({"role": "user", "content": prompt})
#         if prompt.lower().startswith("log"):
#             save_broken_case()
#             st.session_state.messages = []
#             display_chat_messages()
#         else:
#             with st.chat_message("user"):
#                 st.markdown(prompt)
            
#             if "bot" not in st.session_state:
#                 st.session_state.bot = get_graph_class(prompt)
#             st.session_state.bot.invoke(prompt)
            
#             # Извлекаем последнее сообщение бота
#             last_bot_message = find_last_bot_message(st.session_state.bot.messages)
#             st.session_state.messages.append(
#                 {"role": "assistant", "content": last_bot_message}
#             )
#             with st.chat_message("assistant"):
#                 st.markdown(last_bot_message)


# def clear_chat():
#     """Очищает чат и пересоздает бота"""
#     st.session_state.messages = []
#     del st.session_state.bot


# def main():
#     """Основная функция приложения"""
#     # Заголовок приложения
#     st.title("Чат-бот технической поддержки OpenVPN")

#     # Кнопка очистки чата
#     if st.button("Clear"):
#         clear_chat()

#     if "messages" not in st.session_state:
#         st.session_state.messages = []

#     # Отображение чата и обработка ввода
#     display_chat_messages()
#     handle_user_input()


# if __name__ == "__main__":
#     main()


import streamlit as st

st.title("Моё приложение")
st.write("Привет, мир!")