manual model download

README.md

@@ -20,4 +20,4 @@ preload_from_hub:
 license: gpl-3.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+DanRuta's xVASynth, GitHub repo: [https://github.com/DanRuta/xVA-Synth](https://github.com/DanRuta/xVA-Synth)

app.py

@@ -36,10 +36,10 @@ def run_xvaserver():
 
 def load_model():
 	model_name = "Pendrokar/TorchMoji"
-	# model_path = hf_hub_download(repo_id=model_name, filename="ccby_nvidia_hifi_6670_M.pt")
-	# model_json_path = hf_hub_download(repo_id=model_name, filename="ccby_nvidia_hifi_6670_M.json")
-	model_path = '/tmp/hfcache/models--Pendrokar--xvapitch_nvidia_6670/snapshots/2e138a7c459fb1cb1182dd7bc66813f5325d30fd/ccby_nvidia_hifi_6670_M.pt'
-	model_json_path = '/tmp/hfcache/models--Pendrokar--xvapitch_nvidia_6670/snapshots/2e138a7c459fb1cb1182dd7bc66813f5325d30fd/ccby_nvidia_hifi_6670_M.json'
+	model_path = hf_hub_download(repo_id=model_name, filename="ccby_nvidia_hifi_6670_M.pt")
+	model_json_path = hf_hub_download(repo_id=model_name, filename="ccby_nvidia_hifi_6670_M.json")
+	# model_path = '/tmp/hfcache/models--Pendrokar--xvapitch_nvidia_6670/snapshots/2e138a7c459fb1cb1182dd7bc66813f5325d30fd/ccby_nvidia_hifi_6670_M.pt'
+	# model_json_path = '/tmp/hfcache/models--Pendrokar--xvapitch_nvidia_6670/snapshots/2e138a7c459fb1cb1182dd7bc66813f5325d30fd/ccby_nvidia_hifi_6670_M.json'
 	# try:
 	# 	os.symlink(model_path, os.path.join('./models/ccby/', os.path.basename(model_path)))
 	# 	os.symlink(model_json_path, os.path.join('./models/ccby/', os.path.basename(model_json_path)))

resources/app/python/models_manager.py

@@ -111,7 +111,8 @@ class ModelsManager(object):
             self.init_model(model_key, instance_index)
 
         if not os.path.exists(ckpt_path):
-            return "ENOENT"
+            self.logger.error('Checkpoint not found!')
+            raise FileNotFoundError()
 
         if self.models_bank[model_key][instance_index].ckpt_path != ckpt_path:
             self.logger.info(f'ModelsManager: Loading model checkpoint: {model_key}, {ckpt_path}')