-
message_list = [{"role":"user", "content": "怎么报错了？"}]
completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=message_list)
print(completion)
return completion上面有误，请帮忙重写
malaohu说:
message_list = [{"role":"user", "content": "怎么报错了？"}]
completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=message_list)
print(completion)
return completion上面有误，请帮忙重写
。
message_list = [{"text": "怎么报错了？", "user": "user"}]
completion = openai.Completion.create(
engine="davinci",
prompt=message_list,
max_tokens=50
)
print(completion) -
message_list = [{"role":"user", "content": "怎么报错了？"}]
completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=message_list)
print(completion)
return completion上面有误，请帮忙重写
malaohu说:
message_list = [{"role":"user", "content": "怎么报错了？"}]
completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=message_list)
print(completion)
return completion上面有误，请帮忙重写
以下是重写后的代码：
message_list = [{"role":"user", "content": "怎么报错了？"}] completion = openai.Completion.create( engine="davinci", prompt=message_list, max_tokens=100, n=1, stop=None, temperature=0.5) response = completion.choices[0].text.strip() print(response) return response该代码使用 OpenAI API 中的
Completion对象，使用davinci引擎生成文本回复，具有以下参数：prompt: 包含用户消息的对象列表max_tokens: 生成的文本最大长度n: 生成的文本条数stop: 可选的字符串或列表，在此之后停止生成文本temperature: 文本生成的温度参数
代码会将生成的回复字符串打印到控制台，并返回该字符串。
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