main.py

import streamlit as st
import uuid
import os
from dotenv import load_dotenv
import config
from g4f.client import Client
import time

load_dotenv()

st.set_page_config(
    page_title=config.APP_NAME,
    page_icon=":robot_face:",
    layout="wide"
)

st.markdown("""
<style>
.stChatMessage {
    background-color: #262730;
    border-radius: 10px;
    padding: 15px;
    margin-bottom: 10px;
    color: white;
    box-shadow: 2px 2px 5px rgba(0, 0, 0, 0.2);
}

.stSidebar {
    background-color: #1E1E1E;
    color: white;
    padding: 20px;
}

.stSidebar h2, .stSidebar h3 {
    color: #007BFF;
}

.stSidebar .stButton>button {
    width: 100%;
    border-radius: 5px;
    margin-bottom: 10px;
}

.main .block-container {
    padding-top: 2rem;
    padding-bottom: 2rem;
}

.stChatInputContainer {
    margin-top: 20px;
}

body {
    color: white;
}
</style>
""", unsafe_allow_html=True)

if "chat_sessions" not in st.session_state:
    st.session_state.chat_sessions = {}
if "current_chat_id" not in st.session_state:
    st.session_state.current_chat_id = None
if "system_message" not in st.session_state:
     st.session_state.system_message = "Hello! I am ready to help you."
if "selected_model" not in st.session_state:
    st.session_state.selected_model = config.DEFAULT_MODEL
if "model_selected" not in st.session_state:
    st.session_state.model_selected = False
if "request_timestamps" not in st.session_state:
    st.session_state.request_timestamps = []


def start_new_chat():
    new_chat_id = str(uuid.uuid4())
    st.session_state.chat_sessions[new_chat_id] = [{"role": "assistant", "content": st.session_state.system_message}]
    st.session_state.current_chat_id = new_chat_id
    st.session_state.model_selected = False
    st.session_state.request_timestamps = []


with st.sidebar:
    st.header("Chat History")

    if st.button("New Chat"):
        start_new_chat()
        st.rerun()

    if st.session_state.current_chat_id is None:
        start_new_chat()
        st.rerun()

    st.subheader("Existing Chats")
    if st.session_state.chat_sessions:
        for chat_id in reversed(list(st.session_state.chat_sessions.keys())):
            history = st.session_state.chat_sessions[chat_id]
            if len(history) > 1 and history[1]['role'] == 'user':
                 chat_title_content = str(history[1]['content'])
                 chat_title = chat_title_content[:30] + "..." if len(chat_title_content) > 30 else chat_title_content
            else:
                 chat_title_content = str(history[0]['content'])
                 chat_title = chat_title_content[:30] + "..." if len(chat_title_content) > 30 else chat_title_content

            button_style = "background-color: #007BFF;" if chat_id == st.session_state.current_chat_id else ""

            if st.button(chat_title, key=f"select_chat_{chat_id}"):
                st.session_state.current_chat_id = chat_id
                st.session_state.model_selected = True
                st.rerun()
    else:
        st.info("No chats yet.")


st.title(config.APP_NAME)
st.markdown(f"*{config.APP_DESCRIPTION}*")

if not st.session_state.model_selected:
    available_models_display = list(config.MODELS.keys())
    available_models_api = list(config.MODELS.values())
    default_model_index = available_models_api.index(config.DEFAULT_MODEL) if config.DEFAULT_MODEL in available_models_api else 0
    st.session_state.selected_model = st.selectbox("Select AI Model", available_models_display, index=default_model_index)


current_chat_history = st.session_state.chat_sessions.get(st.session_state.current_chat_id, [])

chat_container = st.container(border=True)
with chat_container:
    for message in current_chat_history:
        role = message["role"]
        content = message["content"]
        avatar_icon = "👤" if role == "user" else "🤖"

        with st.chat_message(role, avatar=avatar_icon):
            st.markdown(content)


user_input = st.chat_input("Type your message here...")

if user_input:
    current_time = time.time()
    st.session_state.request_timestamps.append(current_time)

    one_minute_ago = current_time - 60
    one_hour_ago = current_time - 3600
    one_day_ago = current_time - 86400

    recent_requests_minute = [ts for ts in st.session_state.request_timestamps if ts > one_minute_ago]
    recent_requests_hour = [ts for ts in st.session_state.request_timestamps if ts > one_hour_ago]
    recent_requests_day = [ts for ts in st.session_state.request_timestamps if ts > one_day_ago]

    st.session_state.request_timestamps = recent_requests_day

    if len(recent_requests_minute) > config.RPM or \
       len(recent_requests_hour) > config.RPH or \
       len(recent_requests_day) > config.RPD:
        st.warning("Rate limit exceeded. Please wait before sending another message.")
    else:
        st.session_state.chat_sessions[st.session_state.current_chat_id].append({"role": "user", "content": user_input})
        st.session_state.model_selected = True

        with chat_container:
            with st.chat_message("user", avatar="👤"):
                st.markdown(user_input)

        with chat_container:
            with st.chat_message("assistant", avatar="🤖"):
                message_placeholder = st.empty()
                full_response = ""

        with st.spinner(f"Generating response with {st.session_state.selected_model}..."):
            try:
                client_params = {}
                if config.ALGORITHM == 'openai':
                    openai_base_url = os.getenv("OPENAI_BASE_URL")
                    openai_api_key = os.getenv("OPENAI_API_KEY")
                    if openai_base_url:
                        client_params['base_url'] = openai_base_url
                    if openai_api_key:
                        client_params['api_key'] = openai_api_key

                client = Client(**client_params)

                messages_for_api = [{"role": msg["role"], "content": msg["content"]} for msg in st.session_state.chat_sessions[st.session_state.current_chat_id]]

                api_model_name = config.MODELS.get(st.session_state.selected_model, config.DEFAULT_MODEL)
                if api_model_name not in config.MODELS.values():
                     api_model_name = config.DEFAULT_MODEL

                stream = client.chat.completions.create(
                    model=api_model_name,
                    messages=messages_for_api,
                    stream=True,
                    web_search=False
                )

                for chunk in stream:
                    if chunk.choices[0].delta.content is not None:
                        full_response += chunk.choices[0].delta.content
                        message_placeholder.markdown(full_response + "▌")

                message_placeholder.markdown(full_response)

            except Exception as e:
                full_response = f"Error generating response: {e}"
                message_placeholder.markdown(full_response)

            st.session_state.chat_sessions[st.session_state.current_chat_id].append({"role": "assistant", "content": full_response})

        st.rerun()