Add logprobs to generation result

[neilmehta24]

MLX provides logprobs after each evaluation step. These should be available to the caller so that the user is informed of the likelihood of the model's top choices.

This example from OpenAI provides an example of how one can use logprobs in a variety of use cases https://cookbook.openai.com/examples/using_logprobs.