KeyLLM seems to use OpenAI parameters that are deprecated

Nobody has claimed this yet.

First of all, this tool is amazing :-)

I'm trying to use keyLLM using OpenAI API, but when I import the OpenAI module from keybert, I cannot not noticed that the default parameters look having quite old defaults, something like "gpt-3.5-instruct".

The code is something like this:

```python
from keybert.llm import OpenAI

lc_chatgpt = OpenAI(model="gpt-3.5-turbo")
kw_model = KeyLLM(llm=lc_chatgpt)

[...]

keywords_abstracts = kw_model.extract_keywords(abstracts, embeddings=embeddings_abstracts, threshold=0.9)

```
When trying following your instructions I get a deprecation error:

```
openai.lib._old_api.APIRemovedInV1:

You tried to access openai.Completion, but this is no longer supported in openai>=1.0.0 - see the README at https://github.com/openai/openai-python for the API.

You can run `openai migrate` to automatically upgrade your codebase to use the 1.0.0 interface.

Alternatively, you can pin your installation to the old version, e.g. `pip install openai==0.28`

A detailed migration guide is available here: https://github.com/openai/openai-python/discussions/742
```

here the libraries versions:

```
openai 1.3.3
keybert 0.8.3
```

Thank you in advance

Start at the keybert.llm.OpenAI entry point and reproduce the failure with openai 1.3.3 and KeyBERT 0.8.3. Compare the current OpenAI integration with the supported OpenAI 1.x interface, then verify that keyword extraction no longer raises APIRemovedInV1.

Written by the indexing model from the issue text.