Ugh, this works. This is growing hard to configure

deployment.yaml

@@ -31,7 +31,7 @@ spec:
       labels:
         app: tts
       annotations:
-        bump: '1'
+        bump: '2'
     spec:
       terminationGracePeriodSeconds: 60
       imagePullSecrets:
@@ -84,15 +84,15 @@ spec:
         # LSpeech model that sounds 100% amazing
         # image: docker.pkg.github.com/echelon/voder/tts-service:6b5c22567614
         #
-        image: docker.pkg.github.com/ml-applications/voder/tts-service:6f6101fa7730
+        image: docker.pkg.github.com/ml-applications/voder/tts-service:7c2aeca5d289
         resources:
           limits:
             #memory: "2048Mi" # 2048 MiB = 2 GiB
-            memory: "1048Mi" # 2048 MiB = 2 GiB
+            memory: "2000Mi" # 2048 MiB = 2 GiB
             cpu: "700m" # 700 milliCPU
           requests:
             #memory: "2048Mi" # 2048 MiB = 2 GiB
-            memory: "1048Mi" # 2048 MiB = 2 GiB
+            memory: "2000Mi" # 2048 MiB = 2 GiB
             cpu: "700m" # 700 milliCPU
         volumeMounts:
         - name: downloads

tts_service/deployed_models.toml

@@ -2,10 +2,10 @@
 [[speakers]]
 name = "Donald Trump"
 slug = "trump"
-model_pipeline = "ArpabetTacotronMelgan"
-tacotron = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-25_chkpt26500.jit"
-#melgan = "melgan_trump-txlearn-2020.05.05_13675.jit" (OLD)
-#melgan = "melgan_trump_txlearn_2020-05-30_steno_chkpt9800.torchjit" (BEST TACOTRON)
+#model_pipeline = "ArpabetTacotronMelgan"
+model_pipeline = "ArpabetGlowTtsMelgan"
+#tacotron = "tacotron2_trump_txlearn_ljs_arpabet_2020-05-25_chkpt26500.jit"
+melgan = "melgan_trump_txlearn_2020-05-30_steno_chkpt9800.torchjit"
 glow_tts = "glow_tts_ljs_txlearn_arpabet_2020-06-01_G_1007.torchjit"
 
 [[speakers]]