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import streamlit as st | |
from openai import OpenAI | |
import time | |
import os | |
import uuid | |
import firebase_admin | |
from firebase_admin import credentials, firestore | |
# ------------------ Authentication ------------------ | |
VALID_USERS = { | |
"andrew@lortechnologies.com": "Pass.123", | |
} | |
def login(): | |
st.title("π Login Required") | |
email = st.text_input("Email") | |
password = st.text_input("Password", type="password") | |
if st.button("Login"): | |
if VALID_USERS.get(email) == password: | |
st.session_state.authenticated = True | |
st.rerun() | |
else: | |
st.error("β Incorrect email or password.") | |
if "authenticated" not in st.session_state: | |
st.session_state.authenticated = False | |
if not st.session_state.authenticated: | |
login() | |
st.stop() | |
# π Firebase setup | |
if not firebase_admin._apps: | |
cred = credentials.Certificate("firebase-service-account.json") | |
firebase_admin.initialize_app(cred) | |
db = firestore.client() | |
# π OpenAI setup | |
openai_key = os.getenv("openai_key") | |
assistant_id = os.getenv("ASSISTANT_ID") | |
client = OpenAI(api_key=openai_key) | |
# π Streamlit Config | |
st.set_page_config(page_title="LOR Technologies AI Assistant", layout="wide") | |
# π― Session + User ID | |
if "user_id" not in st.session_state: | |
st.session_state["user_id"] = str(uuid.uuid4()) | |
user_id = st.session_state["user_id"] | |
# πΌοΈ LOR Branding + Styling | |
st.markdown(""" | |
<style> | |
.block-container {padding-top: 1rem; padding-bottom: 0rem;} | |
header {visibility: hidden;} | |
.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; } | |
.lor-logo { vertical-align: middle; } | |
</style> | |
""", unsafe_allow_html=True) | |
st.markdown(""" | |
<div style='text-align: center; margin-top: 20px; margin-bottom: -10px;'> | |
<span style='display: inline-flex; align-items: center; gap: 8px;'> | |
<img src='https://lortechnologies.com/wp-content/uploads/2023/03/LOR-Online-Logo.svg' width='100' class='lor-logo'/> | |
<span style='font-size: 12px; color: gray;'>Powered by LOR Technologies</span> | |
</span> | |
</div> | |
""", unsafe_allow_html=True) | |
# π Get or create a thread ID | |
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 | |
# πΎ Save a message | |
def save_message(role, content): | |
db.collection("users").document(user_id).collection("messages").add({ | |
"role": role, | |
"content": content, | |
"timestamp": firestore.SERVER_TIMESTAMP | |
}) | |
# π¬ Display chat history | |
def display_chat_history(): | |
messages = db.collection("users").document(user_id).collection("messages").order_by("timestamp").stream() | |
assistant_icon_html = "<img src='https://lortechnologies.com/wp-content/uploads/2023/03/LOR-Online-Logo.svg' width='20' style='vertical-align:middle;'/>" | |
for msg in list(messages)[::-1]: | |
data = msg.to_dict() | |
if data["role"] == "user": | |
st.markdown(f"<div class='stChatMessage' data-testid='stChatMessage-user'>π€ <strong>You:</strong> {data['content']}</div>", unsafe_allow_html=True) | |
else: | |
st.markdown(f"<div class='stChatMessage' data-testid='stChatMessage-assistant'>{assistant_icon_html} <strong>LOR Assistant:</strong> {data['content']}</div>", unsafe_allow_html=True) | |
# π Main Chat UI | |
input_col, clear_col = st.columns([9, 1]) | |
with input_col: | |
user_input = st.chat_input("Type your message here...") | |
with clear_col: | |
if st.button("ποΈ", key="clear-chat", help="Clear Chat"): | |
try: | |
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() | |
except Exception as e: | |
st.error(f"Failed to clear chat: {e}") | |
thread_id = get_or_create_thread_id() | |
display_chat_history() | |
if user_input: | |
# Send user message to OpenAI thread | |
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... π"): | |
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) | |
time.sleep(0.5) | |
st.rerun() | |