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import streamlit as st
from openai import OpenAI
import time
st.set_page_config(page_title="Schlager ContractAI")
st.title("Schlager ContractAI")
st.caption("Chat with your contract or manage meeting minutes")
# Sidebar for API Key input
with st.sidebar:
OPENAI_API_KEY = st.text_input("Enter your C2 Group of Technologies Access Key", type="password")
if OPENAI_API_KEY:
client = OpenAI(api_key=OPENAI_API_KEY)
else:
st.error("Please enter your C2 Group of Technologies Access Key to continue.")
st.stop()
ASSISTANT_ID = "asst_rd9h8PfYuOmHbkvOF3RTmVfn"
# 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)
# Process user input
if prompt := st.chat_input():
st.session_state.messages.append({"role": "user", "content": prompt})
st.chat_message("user").write(prompt)
try:
# Create a new thread for conversation
thread = client.beta.threads.create()
thread_id = thread.id
# Send user message to OpenAI API
client.beta.threads.messages.create(
thread_id=thread_id,
role="user",
content=prompt
)
# Run the assistant to generate a response
run = client.beta.threads.runs.create(
thread_id=thread_id,
assistant_id=ASSISTANT_ID
)
# Wait for response
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)
# Retrieve assistant response
messages = client.beta.threads.messages.list(thread_id=thread_id)
assistant_message = messages.data[0].content[0].text.value
# Display assistant's response
st.chat_message("assistant").write(assistant_message)
# Store in session state
st.session_state.messages.append({"role": "assistant", "content": assistant_message})
except Exception as e:
st.error(f"Error: {str(e)}")
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