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import streamlit as st
from openai import OpenAI
import time
import datetime
import os
# Get OpenAI API key from Hugging Face secret environment variable
openai_key = os.getenv("openai_key")
st.set_page_config(page_title="Carfind.co.za AI Assistant")
st.title("Carfind.co.za AI Assistant")
st.caption("Chat with Carfind.co.za and Find your Next Car Fast")
# Simple login system
if "authenticated" not in st.session_state:
st.session_state.authenticated = False
if not st.session_state.authenticated:
st.subheader("Login")
username = st.text_input("Username")
password = st.text_input("Password", type="password")
if st.button("Login"):
if username == "[email protected]" and password == "Pass.123":
st.session_state.authenticated = True
st.success("Login successful!")
else:
# Sidebar with clear chat button
with st.sidebar:
if st.button("🧹 Clear Chat"):
st.session_state.messages = []
st.success("Chat history cleared.")
# Initialize OpenAI client
if not openai_key:
st.error("OpenAI key not found. Please make sure it is set as a secret variable in Hugging Face.")
else:
client = OpenAI(api_key=openai_key)
ASSISTANT_ID = "asst_5gQR21fOsmHil11FGBzEArA7"
# Initialize session state for chat history
if "messages" not in st.session_state:
st.session_state["messages"] = []
# Display chat history
for message in st.session_state.messages:
role, content = message["role"], message["content"]
st.chat_message(role).write(content)
# Helper function to save chat transcripts (not displayed, backend only)
def save_transcript(messages):
with open("chat_logs.txt", "a") as f:
f.write(f"\n--- New Chat ({datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}) ---\n")
for msg in messages:
f.write(f"{msg['role'].capitalize()}: {msg['content']}\n")
f.write("--- End Chat ---\n")
# Process user input
if prompt := st.chat_input("Type your message here..."):
st.session_state.messages.append({"role": "user", "content": prompt})
st.chat_message("user").write(prompt)
try:
# Create a new thread
thread = client.beta.threads.create()
thread_id = thread.id
# Send user message
client.beta.threads.messages.create(
thread_id=thread_id,
role="user",
content=prompt
)
# Run assistant
run = client.beta.threads.runs.create(
thread_id=thread_id,
assistant_id=ASSISTANT_ID
)
# Wait for completion
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)
# Get assistant response
messages = client.beta.threads.messages.list(thread_id=thread_id)
assistant_message = messages.data[0].content[0].text.value
# Display and store response
st.chat_message("assistant").write(assistant_message)
st.session_state.messages.append({"role": "assistant", "content": assistant_message})
# Save conversation transcript silently
save_transcript(st.session_state.messages)
except Exception as e:
st.error(f"Error: {str(e)}")
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