python 实现chatgpt流式输出
时间: 2023-10-16 20:11:58 浏览: 70
为了实现 ChatGPT 的流式输出,你可以使用 OpenAI 的 Python 包 `tiktoken` 来计算生成文本的令牌数,并限制输出的长度。然后,你可以使用 OpenAI 的 `openai.ChatCompletion.create()` 方法进行多轮对话。
以下是一个示例代码,展示了如何实现 ChatGPT 的流式输出:
```python
import openai
from tiktoken import Tokenizer
# 设置 OpenAI API 密钥
openai.api_key = 'YOUR_API_KEY'
# 初始化 ChatGPT 对话
def start_chat():
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
]
)
return response['choices'][0]['message']['content']
# 继续对话
def continue_chat(message):
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": message},
]
)
return response['choices'][0]['message']['content']
# 流式输出
def stream_output(response):
tokenizer = Tokenizer()
tokens = tokenizer.tokenize(response)
token_count = len(tokens)
if token_count > 50:
response = tokenizer.detokenize(tokens[:50])
remaining_tokens = tokens[50:]
yield response
while len(remaining_tokens) > 0:
chunk = remaining_tokens[:50]
response = tokenizer.detokenize(chunk)
remaining_tokens = remaining_tokens[50:]
yield response
# 示例对话
def chat():
print("Assistant:", start_chat())
print()
message = input("User: ")
while message != 'bye':
response = continue_chat(message)
for chunk in stream_output(response):
print("Assistant:", chunk)
message = input("User: ")
print("Assistant: Goodbye!")
# 运行示例对话
chat()
```