app.py

import streamlit as st
import asyncio
import edge_tts
import time
import os
import uuid
import firebase_admin
from firebase_admin import credentials, firestore
from openai import OpenAI

# ---- Firebase setup ----
if not firebase_admin._apps:
    cred = credentials.Certificate("firebase-service-account.json")
    firebase_admin.initialize_app(cred)
db = firestore.client()

# ---- OpenAI setup ----
openai_key = os.getenv("openai_key")
assistant_id = os.getenv("assistant_id")
client = OpenAI(api_key=openai_key)

VOICE_OPTIONS = {
    "Jenny (US, Female)": "en-US-JennyNeural",
    "Aria (US, Female)": "en-US-AriaNeural",
    "Ryan (UK, Male)": "en-GB-RyanNeural",
    "Natasha (AU, Female)": "en-AU-NatashaNeural",
    "William (AU, Male)": "en-AU-WilliamNeural",
    "Libby (UK, Female)": "en-GB-LibbyNeural",
    "Leah (SA, Female)": "en-ZA-LeahNeural",
    "Luke (SA, Male)": "en-ZA-LukeNeural"
}

st.set_page_config(page_title="LOR Technologies AI Assistant", layout="wide")

# --- State setup
if "user_id" not in st.session_state:
    st.session_state["user_id"] = str(uuid.uuid4())
user_id = st.session_state["user_id"]

if "mute_voice" not in st.session_state:
    st.session_state["mute_voice"] = False
if "last_tts_text" not in st.session_state:
    st.session_state["last_tts_text"] = ""
if "last_audio_path" not in st.session_state:
    st.session_state["last_audio_path"] = ""
if "selected_voice" not in st.session_state:
    st.session_state["selected_voice"] = "Jenny (US, Female)"

# --- CSS for logo, chat, and input bar at top ---
st.markdown("""
    <style>
    .block-container {padding-top: 1rem;}
    header {visibility: hidden;}
    .logo-mini {
        width: 75px !important;
        margin: 0 auto 0.25em auto;
        display: block;
    }
    .lor-brand-bar {
        width: 100vw; text-align: center; background: none;
        margin-bottom: 0.5em; margin-top: 0.1em;
    }
    .stChatMessage { max-width: 85%; border-radius: 12px; padding: 8px; margin-bottom: 10px; }
    .stChatMessage[data-testid="stChatMessage-user"] { background: #f0f0f0; color: #000000; }
    .stChatMessage[data-testid="stChatMessage-assistant"] { background: #e3f2fd; color: #000000; }
    .chat-history-wrapper {
        margin-top: 0.5em; padding-bottom: 2em; min-height: 60vh;
    }
    .input-top-bar {
        position: sticky; top: 0; z-index: 20;
        background: #191b22; padding: 0.5em 0 0.25em 0;
        display: flex; align-items: center; gap: 0.4em;
        border-bottom: 1px solid #22232c;
    }
    .input-top-bar .element-container { flex: 1 1 auto; }
    .input-top-bar input { font-size: 1.12em !important; }
    .clear-chat-btn { background: none; border: none; font-size: 1.4em; color: #666; cursor: pointer; }
    </style>
""", unsafe_allow_html=True)

# --- Top Branding, Mini Logo ---
st.markdown("""
<div class="lor-brand-bar">
    <img src="https://lortechnologies.com/wp-content/uploads/2023/03/LOR-Online-Logo.svg" class="logo-mini" />
    <div style="font-size: 13px; color: #888;">Powered by LOR Technologies</div>
</div>
""", unsafe_allow_html=True)

# --- Sidebar: audio/voice controls
with st.sidebar:
    st.markdown("### Voice Settings & Controls")
    selected_voice = st.selectbox(
        "Select assistant voice", list(VOICE_OPTIONS.keys()),
        index=list(VOICE_OPTIONS.keys()).index(st.session_state["selected_voice"])
    )
    st.session_state["selected_voice"] = selected_voice

    last_audio = st.session_state.get("last_audio_path")
    mute_voice = st.session_state.get("mute_voice", False)
    if last_audio and os.path.exists(last_audio):
        st.audio(last_audio, format="audio/mp3", autoplay=not mute_voice)
        if st.button("🔁 Replay Voice"):
            st.audio(last_audio, format="audio/mp3", autoplay=True)
    if not mute_voice:
        if st.button("🔇 Mute Voice"):
            st.session_state["mute_voice"] = True
            st.rerun()
    else:
        if st.button("🔊 Unmute Voice"):
            st.session_state["mute_voice"] = False
            st.rerun()

# --- Firestore helpers ---
def get_or_create_thread_id():
    doc_ref = db.collection("users").document(user_id)
    doc = doc_ref.get()
    if doc.exists:
        return doc.to_dict()["thread_id"]
    else:
        thread = client.beta.threads.create()
        doc_ref.set({"thread_id": thread.id, "created_at": firestore.SERVER_TIMESTAMP})
        return thread.id

def save_message(role, content):
    db.collection("users").document(user_id).collection("messages").add({
        "role": role,
        "content": content,
        "timestamp": firestore.SERVER_TIMESTAMP
    })

def clear_chat_history():
    user_doc_ref = db.collection("users").document(user_id)
    for msg in user_doc_ref.collection("messages").stream():
        msg.reference.delete()
    user_doc_ref.delete()
    st.session_state.clear()
    st.rerun()

def display_chat_history():
    messages = db.collection("users").document(user_id).collection("messages").order_by("timestamp").stream()
    assistant_icon_html = "<img src='https://raw.githubusercontent.com/AndrewLORTech/lortechwebsite/main/lorain.jpg' width='22' style='vertical-align:middle; border-radius:50%;'/>"
    chat_msgs = []
    for msg in list(messages)[::-1]:   # Most recent first!
        data = msg.to_dict()
        if data["role"] == "user":
            chat_msgs.append(
                f"<div class='stChatMessage' data-testid='stChatMessage-user'>👤 <strong>You:</strong> {data['content']}</div>"
            )
        else:
            chat_msgs.append(
                f"<div class='stChatMessage' data-testid='stChatMessage-assistant'>{assistant_icon_html} <strong>LORAIN:</strong> {data['content']}</div>"
            )
    st.markdown('<div class="chat-history-wrapper">' + "".join(chat_msgs) + '</div>', unsafe_allow_html=True)
    st.markdown('<div id="chat-top-anchor"></div>', unsafe_allow_html=True)

# --- Edge TTS synth ---
async def edge_tts_synthesize(text, voice, user_id):
    out_path = f"output_{user_id}.mp3"
    communicate = edge_tts.Communicate(text, voice)
    await communicate.save(out_path)
    return out_path

def synthesize_voice(text, voice_key, user_id):
    voice = VOICE_OPTIONS[voice_key]
    out_path = f"output_{user_id}.mp3"
    if st.session_state["last_tts_text"] != text or not os.path.exists(out_path) or st.session_state.get("last_voice") != voice:
        with st.spinner(f"Generating voice ({voice_key})..."):
            asyncio.run(edge_tts_synthesize(text, voice, user_id))
        st.session_state["last_tts_text"] = text
        st.session_state["last_audio_path"] = out_path
        st.session_state["last_voice"] = voice
    return out_path

# --- INPUT AT THE TOP ---
with st.container():
    st.markdown('<div class="input-top-bar">', unsafe_allow_html=True)
    col1, col2 = st.columns([10, 1])
    user_input = col1.chat_input("Type your message here...")
    if col2.button("🗑️", help="Clear Chat", key="clear-chat-top"):
        clear_chat_history()
    st.markdown('</div>', unsafe_allow_html=True)

# --- CHAT: display under input, latest on top ---
display_chat_history()

# --- JS: auto-scroll to top on new message ---
st.markdown("""
<script>
window.onload = function() {
    var anchor = document.getElementById("chat-top-anchor");
    if(anchor){ anchor.scrollIntoView({ behavior: "smooth", block: "start" }); }
};
window.setTimeout(function(){
    var anchor = document.getElementById("chat-top-anchor");
    if(anchor){ anchor.scrollIntoView({ behavior: "smooth", block: "start" }); }
}, 200);
</script>
""", unsafe_allow_html=True)

if user_input:
    # --- OpenAI Assistant Response ---
    thread_id = get_or_create_thread_id()
    client.beta.threads.messages.create(thread_id=thread_id, role="user", content=user_input)
    save_message("user", user_input)
    with st.spinner("Thinking and typing... 💭"):
        run = client.beta.threads.runs.create(thread_id=thread_id, assistant_id=assistant_id)
        while True:
            run_status = client.beta.threads.runs.retrieve(thread_id=thread_id, run_id=run.id)
            if run_status.status == "completed":
                break
            time.sleep(1)
    messages_response = client.beta.threads.messages.list(thread_id=thread_id)
    latest_response = sorted(messages_response.data, key=lambda x: x.created_at)[-1]
    assistant_message = latest_response.content[0].text.value
    save_message("assistant", assistant_message)

    mute_voice = st.session_state.get("mute_voice", False)
    audio_path = None
    if not mute_voice and assistant_message.strip():
        audio_path = synthesize_voice(assistant_message, st.session_state["selected_voice"], user_id)
        st.session_state["last_audio_path"] = audio_path

    time.sleep(0.2)
    st.rerun()