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import streamlit as st
from streamlit_chat import message
from streamlit_mic_recorder import speech_to_text
import base64
import gtts
from io import BytesIO

def initialize_session_state():
    if 'history' not in st.session_state:
        st.session_state['history'] = []
    if 'generated' not in st.session_state:
        st.session_state['generated'] = ["Halo! Saya bisa membantu anda menjawab pertanyaan seputar Politeknik Negeri Padang!"]
    if 'past' not in st.session_state:
        st.session_state['past'] = ["Hai! πŸ‘‹"]
    if 'data_len' not in st.session_state:
        st.session_state['data_len'] = 0
    if 'vector_store' not in st.session_state:
        st.session_state['vector_store'] = None
    if 'should_speak' not in st.session_state:
        st.session_state['should_speak'] = True
    if 'input_text' not in st.session_state:
        st.session_state['input_text'] = ""

def text_to_speech(text):
    tts = gtts.gTTS(text, lang="id")
    audio_bytes = BytesIO()
    tts.write_to_fp(audio_bytes)
    audio_bytes.seek(0)
    audio_base64 = base64.b64encode(audio_bytes.read()).decode()
    audio_player = f"""
    <audio autoplay>
        <source src="data:audio/mp3;base64,{audio_base64}" type="audio/mp3">
    </audio>
    """
    return audio_player

def conversation_chat(query, chain, history):
    result = chain({"question": query, "chat_history": history})
    history.append((query, result["answer"]))
    return result["answer"]

def display_chat_history(chain):
    reply_container = st.container()

    # Chat input section (at the bottom, always)
    col1, col2, col3 = st.columns([7, 1, 1])
    
    with col2:
        # Toggle Text-to-Speech (TTS) using an icon instead of visible checkbox
        should_speak = st.session_state.get('should_speak', True)

        # Handle manual icon toggle (using button instead of checkbox)
        icon_label = "πŸ”Š" if should_speak else "πŸ”‡"
        if st.button(icon_label, key="toggle_tts", help="Aktifkan/Nonaktifkan Text-to-Speech", use_container_width=True):
            st.session_state['should_speak'] = not should_speak

        
    with col3:
        # Mic input
        stt_text = speech_to_text(
            start_prompt="🎀",
            stop_prompt="πŸ›‘ Stop",
            language='id',
            just_once=True,
            key='stt_input',
            use_container_width=True,
        )
        
    with col1:
        # Use chat_input so it's pinned and integrated better
        user_input_obj = st.chat_input(
            "Masukkan pertanyaan atau Tekan tombol mic untuk berbicara!",
            key="chat_input_field"
        )

    # Jika ada hasil dari STT, masukkan ke input dan rerun
    if stt_text:
        st.session_state.input_text = stt_text
        st.rerun()

    user_input = user_input_obj or st.session_state.get("input_text", "")

    if user_input:
        with st.spinner('Sedang membuat jawaban...'):
            output = conversation_chat(user_input, chain, st.session_state['history'])

        st.session_state['past'].append(user_input)
        st.session_state['generated'].append(output)
        st.session_state.input_text = ""  # Kosongkan input setelah kirim

        if st.session_state['should_speak'] and output:
            st.markdown(text_to_speech(output), unsafe_allow_html=True)

    # Tampilkan riwayat chat
    if st.session_state['generated']:
        with reply_container:
            for i in range(len(st.session_state['generated'])):
                message(st.session_state["past"][i], is_user=True, key=str(i) + '_user', avatar_style="no-avatar")
                message(st.session_state["generated"][i], key=str(i), avatar_style="no-avatar")