diff --git a/server/synthesizer.py b/server/synthesizer.py
index b703c62e..63f2080a 100644
--- a/server/synthesizer.py
+++ b/server/synthesizer.py
@@ -1,5 +1,4 @@
 import io
-import os
 import re
 import sys
 
@@ -101,7 +100,6 @@ class Synthesizer(object):
     def load_pwgan(self, lib_path, model_file, model_config, use_cuda):
         sys.path.append(lib_path) # set this if TTS is not installed globally
         from parallel_wavegan.models import ParallelWaveGANGenerator
-        from parallel_wavegan.utils.audio import AudioProcessor as AudioProcessorVocoder
         print(" > Loading PWGAN model ...")
         print(" | > model config: ", model_config)
         print(" | > model file: ", model_file)
diff --git a/tests/inputs/server_config.json b/tests/inputs/server_config.json
index 3988db4c..7f5a60fb 100644
--- a/tests/inputs/server_config.json
+++ b/tests/inputs/server_config.json
@@ -3,9 +3,11 @@
     "tts_config":"dummy_model_config.json",     // tts config.json file
     "tts_speakers": null,           // json file listing speaker ids. null if no speaker embedding.
     "wavernn_lib_path": null,   // Rootpath to wavernn project folder to be imported. If this is null, model uses GL for speech synthesis.
-    "wavernn_path": null,  // wavernn model root path
     "wavernn_file": null, // wavernn checkpoint file name
     "wavernn_config": null, // wavernn config file
+    "pwgan_lib_path": null,
+    "pwgan_file": null,
+    "pwgan_config": null,
     "is_wavernn_batched":true, 
     "port": 5002,
     "use_cuda": false,