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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() |