symlink to voice model

app.py

@@ -4,13 +4,13 @@ import time
 import requests
 from subprocess import Popen, PIPE
 import threading
+# from huggingface_hub import hf_hub_download
 import gradio as gr
 
-
 def run_xvaserver():
 	try:
 		# start the process without waiting for a response
-		print('Running xVAServer subprocess...')
+		print('Running xVAServer subprocess...\n')
 		xvaserver = Popen(['python', 'server.py'], stdout=PIPE, stderr=PIPE, universal_newlines=True)
 	except:
 		print('Could not run xVASynth.')
@@ -32,7 +32,7 @@ def run_xvaserver():
 	print('xVAServer running on port 8008')
 
 	# load default voice model
-	# load_model()
+	load_model()
 
 	predicted = predict('test', 1.0)
 	print(predicted)
@@ -55,6 +55,14 @@ def run_xvaserver():
 	xvaserver.wait()
 
 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'
+	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)))
+
 	model_type = 'xVAPitch'
 	language = 'en'