installed poetry and ran make.  added mistralai to the pyproject.toml (first time using poetry, nice tool)

fix: issue #94 added from clause to the exception statement in

the __call__ method of the Zure class to make it more informative

new encoder and a new LLMS. The encoder is a
simple wrapper around the MistralAI API, and the
LLMS is a simple wrapper around the encoder.
The encoder is tested with a simple unit test,
and the LLMS is tested with a simple unit test.

fix: pip install error in 03-basic-langchain-agent.ipynb

feat: Incorporating Semantic Topic Splitters into Conversation

Merge branch 'incorporating_topic_splitters' of https://github.com/aurelio-labs/semantic-router into incorporating_topic_splitters

We don't have this function anymore.

Merge branch 'incorporating_topic_splitters' of github.com:aurelio-labs/semantic-router into incorporating_topic_splitters
merge

Rather than Conversation.print_topics().

Prints in nice colours.

And more linting.

Changes to the code meant we needed to change some pytests.

New pytests added for Conversation splitter method.

Also fixed a bug in cumulative_sim.py where we weren't limiting curr_split_docs to only latter docs after a split.

We need to figure out how to check if first two messages belong to the same topic before implementing.

At the moment they code is written such that the first two messages automatically are sorted into the same topic.

This was required to fix a bug where the first two mesasges were always assigned the same class.

The splitting code needed tidying and docstrings.

Delegated tasks in split_by_topic() to newly created methods to reduce number of lines of code in split_by_topic().

The split_by_topic was adding the last message from the previous splitting to the current splitting output, resulting in duplicates.

I also made the code more readable.

Also moved Conversation from schema.py to text.py to avoid cyclic imports.

Also commented out splitter code in Conversation class temporarily due to circular reference.