mirror of
https://github.com/vegu-ai/talemate.git
synced 2025-09-02 18:39:09 +00:00
bb1cf6941b
* move memory agent to directory structure * chromadb settings rework * memory agent improvements embedding presets support switching embeddings without restart support custom sentence transformer embeddings * toggle to hide / show disabled clients * add memory debug tools * chromadb no longer needs its dedicated config entry * add missing emits * fix initial value * hidden disabled clients no longer cause enumeration issues with client actions * improve memory agent error handling and hot reloading * more memory agent error handling * DEBUG_MEMORY_REQUESTS off * relock * sim suite: fix issue with removing or changing characters * relock * fix issue where actor dialogue editor would break with multiple characters in the scene * remove cruft * implement interrupt function * margin adjustments * fix rubber banding issue in world editor when editing certain text fields * status notification when re-importing vectorb due to embeddings change * properly open new client context on agent actions * move jiggle apply to the end of prompt tune stack * narrator agent length limit and jiggle settings added - also improve post generation cleanup * progress story prompt improvements * narrator prompt and cleanup tweaks * prompt tweak * revert * autocomplete dialogue improvements * Unified process (#141) * progress to unified process * --dev arg * use gunicorn to serve built frontend * gunicorn config adjustments * remove dist from gitignore * revert * uvicorn instead * save decode * graceful shutdown * refactor unified process * clean up frontend log messages * more logging fixes * 0.27.0 * startup message * clean up scripts a bit * fixes to update.bat * fixes to install.bat * sim suite supports generation cancellation * debug * simplify narrator prompts * prompt tweaks * unified docker file * update docker compose config for unified docker file * cruft * fix startup in linux docker * download punkt so its available * prompt tweaks * fix bug when editing scene outline would wipe message history * add o1 models * add sampler, scheduler and cfg config to a1111 visualizer * update installation docs * visualizer configurable timeout * memory agent docs * docs * relock * relock * fix issue where changing embeddings on immutable scene would hang * remove debug message * take torch install out of poetry since conditionals don't work. * torch gets installed through some dependency so put it back into poetry, but reinstall with cuda if cuda support exists * fix install syntax * no need for torchvision * torch cuda install added to linux install script * add torch cuda install to update.bat * docs * docs * relock * fix install.sh * handle torch+cuda install in docker * docs * typo
49 lines
1.7 KiB
Markdown
49 lines
1.7 KiB
Markdown
|
|
## Quick install instructions
|
|
|
|
!!! warning
|
|
python 3.12 is currently not supported.
|
|
|
|
### Dependencies
|
|
|
|
1. node.js and npm - see instructions [here](https://nodejs.org/en/download/package-manager/)
|
|
1. python 3.10 or 3.11 - see instructions [here](https://www.python.org/downloads/)
|
|
|
|
### Installation
|
|
|
|
1. `git clone https://github.com/vegu-ai/talemate.git`
|
|
1. `cd talemate`
|
|
1. `source install.sh`
|
|
- When asked if you want to install pytorch with CUDA support choose `y` if you have
|
|
a CUDA compatible Nvidia GPU and have installed the necessary drivers.
|
|
1. `source start.sh`
|
|
|
|
If everything went well, you can proceed to [connect a client](../../connect-a-client).
|
|
|
|
## Additional Information
|
|
|
|
### Setting Up a Virtual Environment
|
|
|
|
1. Open a terminal.
|
|
2. Navigate to the project directory.
|
|
3. Create a virtual environment by running `python3 -m venv talemate_env`.
|
|
4. Activate the virtual environment by running `source talemate_env/bin/activate`.
|
|
|
|
### Installing Dependencies
|
|
|
|
1. With the virtual environment activated, install poetry by running `pip install poetry`.
|
|
2. Use poetry to install dependencies by running `poetry install`.
|
|
|
|
### Running the Backend
|
|
|
|
1. With the virtual environment activated and dependencies installed, you can start the backend server.
|
|
2. Navigate to the `src/talemate/server` directory.
|
|
3. Run the server with `python run.py runserver --host 0.0.0.0 --port 5050`.
|
|
|
|
### Running the Frontend
|
|
|
|
1. Navigate to the `talemate_frontend` directory.
|
|
2. If you haven't already, install npm dependencies by running `npm install`.
|
|
3. Start the server with `npm run serve`.
|
|
|
|
Please note that you may need to set environment variables or modify the host and port as per your setup. You can refer to the `runserver.sh` and `frontend.sh` files for more details.
|