👍️[Update] Models : change print log to json format log

src-python/models/overlay/overlay.py

@@ -109,7 +109,8 @@ class Overlay:
             )
 
         except Exception as e:
-            print("Could not initialise OpenVR", e)
+            import json
+            print(json.dumps({"status":348, "log": f"error:Could not initialise OpenVR {e}"}), flush=True)
 
     def updateImage(self, img):
         if self.initialized is True:
@@ -203,8 +204,8 @@ class Overlay:
                         return False
             return True
         except Exception as e:
-            print("Could not check SteamVR running")
-            print(e)
+            import json
+            print(json.dumps({"status":348, "log": f"error:Could not check SteamVR running {e}"}), flush=True)
             return False
 
     def evaluateOpacityFade(self, lastUpdate, currentTime):

src-python/models/transcription/transcription_whisper.py

@@ -40,7 +40,8 @@ def downloadFile(url, path, func=None):
                     func(total_chunk/file_size)
 
     except Exception as e:
-            print("error:downloadFile()", e)
+        import json
+        print(json.dumps({"status":348, "log": f"error:downloadFile() {e}"}), flush=True)
 
 def checkWhisperWeight(root, weight_type):
     path = os_path.join(root, "weights", "whisper", weight_type)
@@ -67,7 +68,6 @@ def downloadWhisperWeight(root, weight_type, callbackFunc):
         return
 
     for filename in _FILENAMES:
-        print("Downloading", filename, "...")
         file_path = os_path.join(path, filename)
         url = huggingface_hub.hf_hub_url(_MODELS[weight_type], filename)
         downloadFile(url, file_path, func=callbackFunc)

src-python/models/translation/translation_translator.py

@@ -42,7 +42,8 @@ class Translator():
         try:
             self.ctranslate2_tokenizer = transformers.AutoTokenizer.from_pretrained(tokenizer, cache_dir=tokenizer_path)
         except Exception as e:
-            print("Error: changeCTranslate2Model()", e)
+            import json
+            print(json.dumps({"status":348, "log": f"error:changeCTranslate2Model() {e}"}), flush=True)
             tokenizer_path = os.path.join("./weights", "ctranslate2", directory_name, "tokenizer")
             self.ctranslate2_tokenizer = transformers.AutoTokenizer.from_pretrained(tokenizer, cache_dir=tokenizer_path)
         self.is_loaded_ctranslate2_model = True

src-python/models/translation/translation_utils.py

@@ -83,4 +83,5 @@ def downloadCTranslate2Weight(root, weight_type="Small", func=None):
             with ZipFile(os_path.join(tmp_path, filename)) as zf:
                 zf.extractall(path)
     except Exception as e:
-            print("error:downloadCTranslate2Weight()", e)
+        import json
+        print(json.dumps({"status":348, "log": f"error:downloadCTranslate2Weight() {e}"}), flush=True)