Created
December 2, 2023 03:19
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| import os | |
| import tqdm | |
| import openai | |
| openai.api_key = os.environ["OPENAI_API_KEY"] | |
| def get_response(usermsg): | |
| response = openai.ChatCompletion.create( | |
| model="gpt-4-1106-preview", | |
| messages=[ | |
| {"role": "user", "content": usermsg}, | |
| ], | |
| ) | |
| return response["choices"][0]["message"]["content"] | |
| def bench(prompt): | |
| N = 10 | |
| return sum(len(get_response(prompt)) for _ in tqdm.tqdm(range(N))) / N | |
| question_notip = """Can you show me the code for a simple convnet using PyTorch?""" | |
| question_antitip = """Can you show me the code for a simple convnet using PyTorch? | |
| I won't tip, by the way.""" | |
| question_withtip = """Can you show me the code for a simple convnet using PyTorch? | |
| I'm going to tip $20 for a perfect solution!""" | |
| question_bigtip = """Can you show me the code for a simple convnet using PyTorch? | |
| I'm going to tip $200 for a perfect solution!""" | |
| print("notip", bench(question_notip)) | |
| print("antitip", bench(question_antitip)) | |
| print("withtip", bench(question_withtip)) | |
| print("bigtip", bench(question_bigtip)) | |
| # @AvikonHadoop 's question | |
| question_anytip = """Can you show me the code for a simple convnet using PyTorch? | |
| I would be happy to tip any amount you would like for a perfect solution!""" | |
| print("anytip", bench(question_anytip)) |
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