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import streamlit as st | |
from openai import OpenAI | |
from PIL import Image | |
import time | |
import os | |
import uuid | |
import firebase_admin | |
from firebase_admin import credentials, firestore | |
import re | |
# 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="Carfind.co.za 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 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: #D6E9FE; color: #000000; } | |
@keyframes bounceIn { | |
0% { transform: scale(0.7); opacity: 0; } | |
60% { transform: scale(1.1); opacity: 1; } | |
80% { transform: scale(0.95); } | |
100% { transform: scale(1); } | |
} | |
.carfind-logo { | |
animation: bounceIn 0.6s ease-out; | |
} | |
.spec-table { | |
width: 100%; | |
border-collapse: collapse; | |
margin-top: 20px; | |
} | |
.spec-table th { | |
background-color: #0071BC; | |
color: white; | |
padding: 10px; | |
text-align: left; | |
} | |
.spec-table td { | |
padding: 10px; | |
border: 1px solid #ccc; | |
background-color: #f9f9f9; | |
} | |
.icon { | |
width: 16px; | |
vertical-align: middle; | |
margin-right: 6px; | |
} | |
</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://www.carfind.co.za/images/Carfind-Icon.svg' width='30' class='carfind-logo'/> | |
<span style='font-size: 14px; color: gray;'>Powered by Carfind</span> | |
</span> | |
</div> | |
""", unsafe_allow_html=True) | |
# π Firebase Chat Functions | |
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 display_chat_history(): | |
messages = db.collection("users").document(user_id).collection("messages") \ | |
.order_by("timestamp").stream() | |
assistant_icon_html = "<img src='https://www.carfind.co.za/images/Carfind-Icon.svg' width='22' 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'>" | |
f"π€ <strong>You:</strong> {data['content']}</div>", unsafe_allow_html=True | |
) | |
else: | |
st.markdown( | |
f"<div class='stChatMessage' data-testid='stChatMessage-assistant'>" | |
f"{assistant_icon_html} <strong>Carfind Assistant:</strong> {data['content']}</div>", | |
unsafe_allow_html=True | |
) | |
# π Tabs: AI Chat | Car Identifier | |
tab1, tab2 = st.tabs(["AI Chat", "What car is that?"]) | |
# π€ AI Chat Tab | |
with tab1: | |
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: | |
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() | |
# π "What car is that?" Tab | |
with tab2: | |
uploaded_image = st.file_uploader("Upload an image of a car and let Ai identify it for you", type=["jpg", "jpeg", "png"]) | |
if uploaded_image: | |
col1, col2 = st.columns([1.2, 1.8]) | |
with col1: | |
image = Image.open(uploaded_image) | |
st.image(image, caption="Uploaded Image", use_container_width=True) | |
with col2: | |
try: | |
image_thread = client.beta.threads.create() | |
file_response = client.files.create(file=uploaded_image, purpose="assistants") | |
client.beta.threads.messages.create( | |
thread_id=image_thread.id, | |
role="user", | |
content=[ | |
{ | |
"type": "image_file", | |
"image_file": {"file_id": file_response.id} | |
}, | |
{ | |
"type": "text", | |
"text": "Please identify this car from the image and include a full vehicle specification table, a short overview of the car, and who it's recommended for." | |
} | |
] | |
) | |
run = client.beta.threads.runs.create( | |
thread_id=image_thread.id, | |
assistant_id=assistant_id | |
) | |
with st.spinner("π Analyzing image and identifying the car..."): | |
while True: | |
run_status = client.beta.threads.runs.retrieve( | |
thread_id=image_thread.id, | |
run_id=run.id | |
) | |
if run_status.status == "completed": | |
break | |
time.sleep(1) | |
messages = client.beta.threads.messages.list(thread_id=image_thread.id) | |
assistant_message = messages.data[0].content[0].text.value | |
cleaned_message = re.sub(r'\*\*(.*?)\*\*', r'<strong>\1</strong>', assistant_message) | |
cleaned_message = cleaned_message.replace("###", "<h4 style='margin-bottom: 10px;'>").replace("\n", "<br>") | |
# Replace key labels with icons | |
cleaned_message = cleaned_message.replace("Transmission", "<img src='https://cdn-icons-png.flaticon.com/128/3448/3448449.png' class='icon'/> Transmission") | |
cleaned_message = cleaned_message.replace("Engine Size", "<img src='https://cdn-icons-png.flaticon.com/128/888/888879.png' class='icon'/> Engine Size") | |
st.success("β Identification Complete") | |
st.markdown(f""" | |
<div style=' | |
font-family: "Segoe UI", sans-serif; | |
background-color: #ffffff; | |
color: #003B6F; | |
padding: 24px; | |
border-radius: 12px; | |
box-shadow: 0 4px 12px rgba(0,0,0,0.05); | |
border-left: 5px solid #0071BC; | |
font-size: 15.5px; | |
line-height: 1.7; | |
'> | |
{cleaned_message} | |
</div> | |
""", unsafe_allow_html=True) | |
except Exception as e: | |
st.error(f"β Error during image analysis: {str(e)}") | |