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import openai | |
def LLM_task(model_name, input, task, temp = 0.15): | |
""" | |
Translates input sentence with desired LLM. | |
:param model_name: The name of the translation model to be used. | |
:param input: Sentence for translation. | |
:param task: Prompt. | |
:param temp: Model temperature. | |
""" | |
if model_name == "gpt-3.5-turbo" or model_name == "gpt-4": | |
response = openai.ChatCompletion.create( | |
model=model_name, | |
messages=[ | |
{"role": "system","content": task}, | |
{"role": "user", "content": input} | |
], | |
temperature=temp | |
) | |
return response['choices'][0]['message']['content'].strip() | |
# Other LLM not implemented | |
else: | |
raise NotImplementedError |