* Added the following features: \n 1) Now prompt_model uses the positional argument callback to return the response tokens. \n 2) Due to the callback argument of prompt_model, prompt_model_streaming only manages the queue and threading now, which reduces duplication of the code. \n 3) Added optional verbose argument to prompt_model which prints out the prompt that is passed to the model. \n 4) Chat sessions can now have a header, i.e. an instruction before the transcript of the conversation. The header is set at the creation of the chat session context. \n 5) generate function now accepts an optional callback. \n 6) When streaming and using chat session, the user doesn't need to save assistant's messages by himself. This is done automatically.
* added _empty_response_callback so I don't have to check if callback is None
* added docs
* now if the callback stop generation, the last token is ignored
* fixed type hints, reimplemented chat session header as a system prompt, minor refactoring, docs: removed section about manual update of chat session for streaming
* forgot to add some type hints!
* keep the config of the model in GPT4All class which is taken from models.json if the download is allowed
* During chat sessions, the model-specific systemPrompt and promptTemplate are applied.
* implemented the changes
* Fixed typing. Now the user can set a prompt template that will be applied even outside of a chat session. The template can also have multiple placeholders that can be filled by passing a dictionary to the generate function
* reversed some changes concerning the prompt templates and their functionality
* fixed some type hints, changed list[float] to List[Float]
* fixed type hints, changed List[Float] to List[float]
* fix typo in the comment: Pepare => Prepare
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Signed-off-by: 385olt <385olt@gmail.com>
* Makefiles, black, isort
* Black and isort
* unit tests and generation method
* chat context provider
* context does not reset
* Current state
* Fixup
* Python bindings with unit tests
* GPT4All Python Bindings: chat contexts, tests
* New python bindings and backend fixes
* Black and Isort
* Documentation error
* preserved n_predict for backwords compat with langchain
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Co-authored-by: Adam Treat <treat.adam@gmail.com>
