import streamlit as st
from openai import OpenAI
import time
import os
import pandas as pd
from datetime import datetime
# Load environment variables
openai_key = os.getenv("openai_key")
assistant_id = os.getenv("ASSISTANT_ID")
# Set up transcript log
transcript_file = "transcripts.xlsx"
if not os.path.exists(transcript_file):
df = pd.DataFrame(columns=["timestamp", "thread_id", "role", "message"])
df.to_excel(transcript_file, index=False)
def append_to_transcript(thread_id, role, message):
df_existing = pd.read_excel(transcript_file)
new_entry = pd.DataFrame({
"timestamp": [datetime.now().strftime("%Y-%m-%d %H:%M:%S")],
"thread_id": [thread_id],
"role": [role],
"message": [message]
})
updated_df = pd.concat([df_existing, new_entry], ignore_index=True)
updated_df.to_excel(transcript_file, index=False)
# Configure page
st.set_page_config(page_title="Carfind.co.za AI Assistant", layout="wide")
# Inject custom styling
st.markdown("""
""", unsafe_allow_html=True)
# Initialize session
if "thread_id" not in st.session_state:
st.session_state["thread_id"] = None
# Carfind logo + powered by text (animated)
st.markdown(
"""
Powered by Carfind
""",
unsafe_allow_html=True
)
# Chat input + inline clear button
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("🗑️", key="clear-chat", help="Clear Chat"):
st.session_state["thread_id"] = None
st.rerun()
# Chat logic
if openai_key and assistant_id:
client = OpenAI(api_key=openai_key)
if user_input:
if not st.session_state["thread_id"]:
thread = client.beta.threads.create()
st.session_state["thread_id"] = thread.id
client.beta.threads.messages.create(
thread_id=st.session_state["thread_id"], role="user", content=user_input
)
append_to_transcript(st.session_state["thread_id"], "user", user_input)
try:
with st.spinner("Thinking and typing... 💭"):
run = client.beta.threads.runs.create(
thread_id=st.session_state["thread_id"], assistant_id=assistant_id
)
while True:
run_status = client.beta.threads.runs.retrieve(
thread_id=st.session_state["thread_id"], run_id=run.id
)
if run_status.status == "completed":
break
time.sleep(1)
messages_response = client.beta.threads.messages.list(
thread_id=st.session_state["thread_id"]
)
assistant_icon_html = "
"
messages_sorted = sorted(messages_response.data, key=lambda x: x.created_at, reverse=True)
for msg in messages_sorted:
if msg.role == "user":
st.markdown(
f""
f"👤 You: {msg.content[0].text.value}
",
unsafe_allow_html=True
)
else:
response_text = msg.content[0].text.value
append_to_transcript(st.session_state["thread_id"], "assistant", response_text)
st.markdown(
f""
f"{assistant_icon_html} Carfind Assistant: {response_text}
",
unsafe_allow_html=True
)
except Exception as e:
st.error(f"❌ An error occurred: {str(e)}")
else:
st.error("⚠️ OpenAI key or Assistant ID not found. Please ensure both are set as Hugging Face secrets.")