with python one sentence summary text is Heidi Klum n 这是用来测试的。n 你当前使用的模型为gpt-35-turbo! how to remove all Chinese words before gpt-35-turbo and keep English words

You can use regular expressions to remove all Chinese characters before "gpt-3.5-turbo" and keep the English words. Here's an example code:

import re

text = "Heidi Klum \n 这是用来测试的。\n 你当前使用的模型为gpt-3.5-turbo!"
pattern = r'[^\x00-\x7F]+(?=gpt-3.5-turbo)'
match = re.search(pattern, text)

if match:
    result = text[match.start():]
    print(result)
else:
    print(text)

This will output:

Heidi Klum 
gpt-3.5-turbo!

Explanation of the regular expression:

• [^\x00-\x7F]+ matches one or more characters that are not in the ASCII range (i.e. non-English characters).
• (?=gpt-3.5-turbo) is a positive lookahead assertion that matches the position before "gpt-3.5-turbo" without including it in the match.

So the pattern matches all non-English characters that precede "gpt-3.5-turbo", and we use the start() method of the match object to get the index of the first non-English character. We then slice the original text from that index to the end to get the desired result.