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Topic starter
Calculating token cost is giving me result as none. Can you please point me to what I am doing wrong?
Main file:
import helpers
token_count=3000
costs=helpers.estimate_input_cost_optimized("gpt-3.5-turbo-0613", token_count)
print(f"Costs: {costs}")
Helpers is written as
import tiktoken
import openai
# Estimate cost
def estimate_input_cost_optimized(model_name, token_count):
model_cost_dict= {
"gpt-3.5-turbo-0613": 0.0015,
"gpt-3.5-turbo-16k-0613": 0.003,
"gpt-4-0613": 0.03,
"gpt-4-32k-0613": 0.06
}
try:
cost_per_1000_tokens = model_cost_dict[model_name]
except KeyError:
raise ValueError(f"The model '{model_name}' is not recognized.")
estimated_cost=(token_count / 1000) * cost_per_1000_token
Result after running the code:
Costs: None
Posted : 09/11/2023 1:57 pm
you forgot to add:
return estimated_cost
At the end of the function.
Here is the corrected version:
def estimate_input_cost_optimized(model_name, token_count):
model_cost_dict = {
"gpt-3.5-turbo-0613": 0.0015,
"gpt-3.5-turbo-16k-0613": 0.003,
"gpt-4-0613": 0.03,
"gpt-4-32k-0613": 0.06,
}
try:
cost_per_1000_tokens = model_cost_dict[model_name]
except KeyError:
raise ValueError(f"The model '{model_name}' is not recognized.")
estimated_cost = (token_count / 1000) * cost_per_1000_tokens
return estimated_cost
Posted : 09/11/2023 3:56 pm
