DEBO-V1 / modules /gpt_modules.py
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feat: implement env variables setting for building dependency in Hugging Face
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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"]
return output_text