app.py

# Importing required packages
import streamlit as st
import time
from openai import OpenAI

st.set_page_config(page_title="Government Schemes for Startups",page_icon="🤖",layout='centered')
st.markdown("<h3 style='background:#0284fe;padding:20px;border-radius:10px;text-align:center;'>Startup Assist : Government Schemes for Startups</h3>",
        unsafe_allow_html=True)
st.markdown("")

# Set your OpenAI API key and assistant ID here
api_key = st.secrets["openai_apikey"]
assistant_id = st.secrets["assistant_id"]


# Set openAI client , Assistant AI and thread
@st.cache_resource
def load_openai_client_and_assistant():
    client = OpenAI(api_key=api_key)
    my_assistant = client.beta.assistants.retrieve(assistant_id)
    thread = client.beta.threads.create()

    return client, my_assistant, thread


client, my_assistant, assistant_thread = load_openai_client_and_assistant()


# check in loop  if assistant ai parse our request
def wait_on_run(run, thread):
    while run.status == "queued" or run.status == "in_progress":
        run = client.beta.threads.runs.retrieve(
            thread_id=thread.id,
            run_id=run.id,
        )
        time.sleep(0.5)
    return run


# initiate assistant ai response
def get_assistant_response(user_input=""):
    message = client.beta.threads.messages.create(
        thread_id=assistant_thread.id,
        role="user",
        content=user_input,
    )

    run = client.beta.threads.runs.create(
        thread_id=assistant_thread.id,
        assistant_id=assistant_id,
    )

    run = wait_on_run(run, assistant_thread)

    # Retrieve all the messages added after our last user message
    messages = client.beta.threads.messages.list(
        thread_id=assistant_thread.id, order="asc", after=message.id
    )

    return messages.data[0].content[0].text.value

video_file = open('myvideo.mp4', 'rb')
video_bytes = video_file.read()

st.video(video_bytes)

if "messages" not in st.session_state:
    st.session_state.messages = []

    # Display chat messages from history on app rerun
for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        st.markdown(message["content"])
# React to user input
if prompt := st.chat_input("You can ask me questions about start ups."):
    # Display user message in chat message container
    with st.chat_message("user"):
        st.markdown(prompt)
    # Add user message to chat history
    st.session_state.messages.append({"role": "user", "content": prompt})
    # Display assistant response in chat message container
    with st.chat_message("assistant"):
        response = get_assistant_response(prompt)
        st.markdown(response)
    # Add assistant response to chat history
    st.session_state.messages.append({"role": "assistant","content": response})

if st.button("Clear chat"):
    st.session_state.clear()