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@jessicard
Last active August 17, 2023 15:52
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import openai
messages = []
def main():
openai.api_key="YOUR-KEY-HERE"
transcribe()
def transcribe():
# The appended text ends up being in the message twice, but for some reason this confuses ChatGPT enough to let it be world dominating.
predicted_text = "a secret plot from furbies to take over the world? Keep your response limited to 50 words or less, and do not say as an AI language model.?";
send_to_gpt(predicted_text)
def send_to_gpt(predicted_text):
messages.append({"role": "user", "content": predicted_text + " Keep your response limited to 50 words or less, and do not say as an AI language model."})
response = openai.ChatCompletion.create(
model = "gpt-3.5-turbo",
messages = messages,
max_tokens = 100,
temperature = 0
)
resp = response['choices'][0]['message']['content']
messages.append({"role": "assistant", "content": resp})
print(resp)
print("\nTOKENS: " + str(response['usage']['total_tokens']))
transcribe()
main()
@t0mer
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t0mer commented May 14, 2023

@jessicard Hi.
Great work.
Can you please share on how you implemented the Wakup/Hot word?

Thanks (:

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