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docs: 📝 Update README with token counts output from cost functions
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10
README.md
10
README.md
@@ -43,8 +43,8 @@ model = "gpt-3.5-turbo"
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prompt = [{ "role": "user", "content": "Hello world"}]
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completion = "How may I assist you today?"
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prompt_cost = calculate_prompt_cost(prompt, model)
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completion_cost = calculate_completion_cost(completion, model)
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prompt_cost, prompt_tokens = calculate_prompt_cost(prompt, model)
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completion_cost, completion_tokens = calculate_completion_cost(completion, model)
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print(f"{prompt_cost} + {completion_cost} = {prompt_cost + completion_cost}")
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# 0.0000135 + 0.000014 = 0.0000275
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@@ -76,8 +76,8 @@ chat_completion = client.chat.completions.create(
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completion = chat_completion.choices[0].message.content
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# "This is a test."
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prompt_cost = calculate_prompt_cost(prompt, model)
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completion_cost = calculate_completion_cost(completion, model)
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prompt_cost, prompt_tokens = calculate_prompt_cost(prompt, model)
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completion_cost, completion_tokens = calculate_completion_cost(completion, model)
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print(f"{prompt_cost} + {completion_cost} = {prompt_cost + completion_cost}")
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# 0.0000180 + 0.000010 = 0.0000280
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```
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@@ -90,7 +90,7 @@ prompt_string = "Hello world"
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response = "How may I assist you today?"
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model= "gpt-3.5-turbo"
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prompt_cost = calculate_prompt_cost(prompt_string, model)
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prompt_cost, prompt_tokens = calculate_prompt_cost(prompt_string, model)
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print(f"Cost: ${prompt_cost}")
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# Cost: $3e-06
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```
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