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import openai | |
poem = """Escriba lo que se le pide: | |
--- | |
{input} | |
--- | |
Este es el resultado: """ | |
def set_openai_key(key): | |
"""Sets OpenAI key.""" | |
openai.api_key = key | |
class GeneralModel: | |
def __init__(self): | |
print("Model Intilization--->") | |
# set_openai_key(API_KEY) | |
def query(self, prompt, myKwargs={}): | |
""" | |
wrapper for the API to save the prompt and the result | |
""" | |
# arguments to send the API | |
kwargs = { | |
"engine": "text-davinci-002", | |
"temperature": 0.85, | |
"max_tokens": 2400, | |
"best_of": 1, | |
"top_p": 1, | |
"frequency_penalty": 0.5, | |
"presence_penalty": 0.5, | |
"stop": ["###"], | |
} | |
for kwarg in myKwargs: | |
kwargs[kwarg] = myKwargs[kwarg] | |
r = openai.Completion.create(prompt=prompt, **kwargs)["choices"][0][ | |
"text" | |
].strip() | |
return r | |
def model_prediction(self, input, api_key): | |
""" | |
wrapper for the API to save the prompt and the result | |
""" | |
# Setting the OpenAI API key got from the OpenAI dashboard | |
set_openai_key(api_key) | |
output = self.query(poem.format(input = input)) | |
return output |