add default model for hf spaces

DEFAULT_MODEL

@@ -0,0 +1 @@
+default

README.md

@@ -149,6 +149,9 @@ python  scripts/exp/train.py --args.load conf/generated/<fine_tune_name>/c2f.yml
 This repository relies on [argbind](https://github.com/pseeth/argbind) to manage CLIs and config files. 
 Config files are stored in the `conf/` folder. 
 
+### Take a look at the pretrained models
+All the pretrained models (trained by hugo) are stored here: https://huggingface.co/hugggof/vampnet 
+
 ### Licensing for Pretrained Models: 
 The weights for the models are licensed [`CC BY-NC-SA 4.0`](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.ml). Likewise, any VampNet models fine-tuned on the pretrained models are also licensed [`CC BY-NC-SA 4.0`](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.ml).
 

app.py

@@ -18,6 +18,9 @@ from vampnet import mask as pmask
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
 interface = Interface.default()
+init_model_choice = open("DEFAULT_MODEL.txt").read().strip()
+# load the init model
+interface.load_finetuned(init_model_choice)
     
 def to_output(sig):
     return sig.sample_rate, sig.cpu().detach().numpy()[0][0]