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import openai | |
import streamlit as st | |
from dotenv import dotenv_values | |
config = dotenv_values(".env") | |
if config: | |
openai.organization = config.get('OPENAI_ORGANIZATION') | |
openai.api_key = config.get('OPENAI_API_KEY') | |
else: | |
openai.organization = st.secrets['OPENAI_ORGANIZATION'] | |
openai.api_key = st.secrets['OPENAI_API_KEY'] | |
def gpt_call(prompt, role="user"): | |
response = openai.ChatCompletion.create( | |
model="gpt-3.5-turbo", | |
messages=[ | |
{"role": role, "content": prompt}, | |
] | |
) | |
output_text = response["choices"][0]["message"]["content"] | |
return output_text | |
def gpt_call_context(messages): | |
response = openai.ChatCompletion.create( | |
model="gpt-3.5-turbo", | |
messages=messages | |
) | |
output_text = response["choices"][0]["message"]["content"] | |
# raise RuntimeError | |
return output_text |