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Add model_name as a parameter to call_openai and calculate_perplexity #6

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Add model_name as a parameter to call_openai and calculate_perplexity #6

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51e61a5
Pass model_name as a default parameter.
dh-rico-freitas Jun 14, 2023
9a7715b
Update __init__.py
dh-rico-freitas Jun 14, 2023
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13 changes: 6 additions & 7 deletions betterprompt/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,8 +4,6 @@
import os


model_name: str = "text-davinci-003"

def get_from_dict_or_env(env_key: str) -> str:
"""Get a value from a dictionary or an environment variable."""
if env_key in os.environ and os.environ[env_key]:
Expand All @@ -18,27 +16,28 @@ def get_from_dict_or_env(env_key: str) -> str:
)


def call_openai(prompt: str):
def call_openai(prompt: str, model_name: str = "text-davinci-003"):
openai_api_key = get_from_dict_or_env("OPENAI_API_KEY")
openai.api_key = openai_api_key
#GET THE LOGPROB OF THE PROMPT
response = openai.Completion.create(
model="text-davinci-003",
model=model_name,
prompt=prompt,
max_tokens=0,
echo=True,
logprobs=0
)
return response["choices"][0]["logprobs"]["token_logprobs"]

def calculate_perplexity(prompt: str):
def calculate_perplexity(prompt: str, model_name: str = "text-davinci-003"):
nlls = []

token_logprobs = call_openai(prompt)
token_logprobs = call_openai(prompt, model_name)
for neg_log_likelihood in token_logprobs:
if neg_log_likelihood == None: #default to -100, handles the initial token case
neg_log_likelihood = -100
nlls.append(neg_log_likelihood)

perplexity = math.exp(sum(nlls)/len(token_logprobs))
return perplexity
return perplexity