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import openai
import time
import logging
import streamlit as st
from datetime import datetime
openai_api_key = st.secrets["openai_api_key"]
client = openai.OpenAI(api_key = openai_api_key)
model = "gpt-3.5-turbo-16k"
# === Thread an empty thread
thread = client.beta.threads.create()
thread_id = thread.id
def wait_for_run_completion(client, thread_id, run_id, sleep_interval=5):
"""
Waits for a run to complete and prints the elapsed time.:param client: The OpenAI client object.
:param thread_id: The ID of the thread.
:param run_id: The ID of the run.
:param sleep_interval: Time in seconds to wait between checks.
"""
while True:
try:
run = client.beta.threads.runs.retrieve(thread_id = thread_id, run_id = run_id)
if run.completed_at:
elapsed_time = run.completed_at - run.created_at
formatted_elapsed_time = time.strftime(
"%H:%M:%S", time.gmtime(elapsed_time)
)
print(f"Run completed in {formatted_elapsed_time}")
logging.info(f"Run completed in {formatted_elapsed_time}")
# Get messages here once Run is completed!
messages = client.beta.threads.messages.list(thread_id=thread_id)
last_message = messages.data[0]
response = last_message.content[0].text.value
st.write(response)
break
except Exception as e:
logging.error(f"An error occurred while retrieving the run: {e}")
break
logging.info("Waiting for run to complete...")
time.sleep(sleep_interval)
def create_new_assistant():
personal_trainer_assis = client.beta.assistants.create(
name="Personal Trainer",
instructions="""You are the best personal trainer and nutritionist who knows how to get clients to build lean muscles.\n
You've trained high-caliber athletes and movie stars. """,
model=model,
)
print(f"Created new assistant with ID: {personal_trainer_assis.id}")
return personal_trainer_assis.id
def main():
# Streamlit interface
st.title("Personal Trainer")
# Note that API key's running out of budget
contact_url = "https://www.linkedin.com/in/linhvuu"
st.write("If no result returns, it means I am running out of energy. Please contact [Linh Vuu](%s) to wake me up." % contact_url)
with st.form(key="user_input_form"):
question = st.text_input("Enter question:")
submit_button = st.form_submit_button(label="Response to my question above")
if submit_button:
# ==== Create a Message ====
message = question
message = client.beta.threads.messages.create(
thread_id = thread_id, role = "user", content = message
)
# Define assistant_id before the try-except block
assistant_id = "asst_v5C5Qy4KGXTRHyty7n1wLLa6"
run = None
# === Run our Assistant ===
try:
if assistant_id is None:
# If assistant_id is None, create a new assistant
assistant_id = create_new_assistant()
run = client.beta.threads.runs.create(
thread_id = thread_id,
assistant_id = assistant_id
)
except openai.NotFoundError:
# If assistant_id does not exist, create a new assistant and retry
assistant_id = create_new_assistant()
run = client.beta.threads.runs.create(
thread_id = thread_id,
assistant_id = assistant_id
)
# === Run ===
wait_for_run_completion(client=client, thread_id=thread_id, run_id=run.id)
if __name__ == "__main__":
main() |