update

demo/MMVCServerSIO.py

@@ -1,4 +1,5 @@
 import sys, os, struct, argparse, logging, shutil,  base64, traceback
+from dataclasses import dataclass
 sys.path.append("/MMVC_Trainer")
 sys.path.append("/MMVC_Trainer/text")
 
@@ -48,8 +49,13 @@ logger.addFilter(UvicornSuppressFilter())
 logger = logging.getLogger("multipart.multipart")
 logger.propagate = False
 
+@dataclass
+class ExApplicationInfo():
+    external_tensorboard_port:int
 
 
+exApplitionInfo = ExApplicationInfo(external_tensorboard_port=0)
+
 class VoiceModel(BaseModel):
     gpu: int
     srcId: int
@@ -268,6 +274,7 @@ if __name__ == thisFilename or args.colab == True:
         return {"Zip file unpacked": f"{zipFilePath}"}
 
     
+
     ############
     # Voice Changer
     # ########## 
@@ -373,6 +380,11 @@ if __name__ == thisFilename or args.colab == True:
     async def get_tail_training_log(num:int):
         return mod_get_tail_training_log(num)
 
+    @app_fastapi.get("/get_ex_application_info")
+    async def get_ex_application_info():
+        json_compatible_item_data = jsonable_encoder(exApplitionInfo)
+        return JSONResponse(content=json_compatible_item_data)
+
 
 if __name__ == '__mp_main__':
     printMessage(f"PHASE2:{__name__}", level=2)
@@ -395,6 +407,11 @@ if __name__ == '__main__':
       else:
           printMessage(f"Internal_Port:{PORT}", level=1)
 
+      if os.getenv("EX_TB_PORT"):
+          EX_TB_PORT = os.environ["EX_TB_PORT"]
+          exApplitionInfo = int(EX_TB_PORT)
+          printMessage(f"External_TeonsorBord_Port:{EX_PORT}", level=1)
+
       if os.getenv("EX_IP"):
           EX_IP = os.environ["EX_IP"]
           printMessage(f"External_IP:{EX_IP}", level=1)

docker/Dockerfile

@@ -1,4 +1,4 @@
-FROM dannadori/voice-changer-internal:20221109_051139 as front
+FROM dannadori/voice-changer-internal:20221112_092232 as front
 FROM debian:bullseye-slim as base
 
 ARG DEBIAN_FRONTEND=noninteractive

start2.sh

@@ -1,8 +1,8 @@
 #!/bin/bash
 set -eu
 
-#DOCKER_IMAGE=dannadori/voice-changer:20221108_105937
-DOCKER_IMAGE=voice-changer
+DOCKER_IMAGE=dannadori/voice-changer:20221112_092328
+# DOCKER_IMAGE=voice-changer
 
 MODE=$1
 PARAMS=${@:2:($#-1)}
@@ -21,13 +21,9 @@ USE_GPU=${USE_GPU:-${DEFAULT_USE_GPU}}
 
 #echo $EX_PORT $USE_GPU $VERBOSE
 
-### INTERNAL SETTING ###
-TENSORBOARD_PORT=6006
-SIO_PORT=8080
-
 
 ### 
-if [ "${MODE}" = "MMVC_TRAIN" ]; then
+if [ "${MODE}" = "TRAIN" ]; then
     echo "トレーニングを開始します"
 
     docker run -it --gpus all --shm-size=128M \
@@ -67,7 +63,7 @@ else
     echo "
 usage: 
     $0 <MODE> <params...>
-    MODE: select one of ['MMVC_TRAIN', 'MMVC']
+    MODE: select one of ['TRAIN', 'MMVC']
 " >&2
 fi