Silence expected inference-only checkpoint load diagnostics

app.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import logging
 import re
 import sys
 import threading
@@ -94,7 +95,13 @@ class Engine:
             self.hps.train.segment_size // self.hps.data.hop_length,
             **self.hps.model,
         ).eval()
-        utils.load_checkpoint(str(spec.checkpoint), self.model, None)
+        root_logger = logging.getLogger()
+        previous_level = root_logger.level
+        try:
+            root_logger.setLevel(logging.WARNING)
+            utils.load_checkpoint(str(spec.checkpoint), self.model, None)
+        finally:
+            root_logger.setLevel(previous_level)
         self.device = torch.device("cpu")
         self.sample_rate = int(self.hps.data.sampling_rate)
         self.lock = threading.Lock()