translation: added test module for glossary

Introduces several changes with the main objective of enabling OpenAI's streaming API in the chatmastermind application. This allows for the retrieval of AI responses gradually as a stream, which can significantly improve the user experience in interactions that involve large result sets.

* Added tiktoken import in 'openai.py' and modifications to the OpenAI class to support streaming. This includes the addition of a new class OpenAIAnswer to handle streaming API responses.
* Modified request function in the OpenAI class: the stream=True flag is added to the openai.ChatCompletion.create method to enable streaming API.
* Modified 'question.py' to print the answer parts as they are streamed.
* Replaced the Answer class's string data type with a generator which supports str and Generator[str, None, None] data types. Modifications are made to the Answer class methods to handle both data types accordingly.
* Updated the tests in 'test_ais_openai.py' and 'test_message.py' to reflect and validate these changes.

chatmastermind/glossary.py

@@ -16,15 +16,6 @@ class GlossaryError(Exception):
     pass
 
 
-def str_presenter(dumper: yaml.Dumper, data: str) -> yaml.ScalarNode:
-    """
-    Changes the YAML dump style to multiline syntax for multiline strings.
-    """
-    if len(data.splitlines()) > 1:
-        return dumper.represent_scalar('tag:yaml.org,2002:str', data, style='|')
-    return dumper.represent_scalar('tag:yaml.org,2002:str', data)
-
-
 @dataclass
 class Glossary:
     """