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# search
Semantic file search using ImageBind and sqlite-vec
## Installation
```
pip install -r requirements.txt
```
If you don't need PyTorch with GPU support, first run `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu`. During runtime, if you get the error `ModuleNotFoundError: No module named 'torchvision.transforms.functional_tensor'`, change `functional_tensor` to `functional`.
## Usage
This program uses a client-server architecture to watch directories with inotify and keep the model loaded in memory. It takes around 15 seconds to load the model so it wouldn't be great if every query had to wait on that.
Run `python server.py DIRS_TO_INDEX` to start the server. Then, run `python client.py SEARCH_TEXT NUM_RESULTS` to get a list of the most similar files. You can pass this list to an image viewer such as Gwenview to view image results. Note that Gwenview doesn't preserve the order of the images. Alternatively, add a third parameter to `python client.py` and it will symlink `res0`, `res1`, and so on to the files on the list.
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