edited model path

modules/whisper_Inference.py

@@ -12,7 +12,7 @@ class WhisperInference:
     def __init__(self):
         print("\nInitializing Model..\n")
         self.current_model_size = DEFAULT_MODEL_SIZE
-        self.model = whisper.load_model(name=DEFAULT_MODEL_SIZE, download_root="models")
+        self.model = whisper.load_model(name=DEFAULT_MODEL_SIZE, download_root="models/Whisper")
         self.available_models = whisper.available_models()
         self.available_langs = sorted(list(whisper.tokenizer.LANGUAGES.values()))
 
@@ -26,7 +26,7 @@ class WhisperInference:
         if model_size != self.current_model_size:
             progress(0, desc="Initializing Model..")
             self.current_model_size = model_size
-            self.model = whisper.load_model(name=model_size, download_root="models")
+            self.model = whisper.load_model(name=model_size, download_root="models/Whisper")
 
         if lang == "Automatic Detection":
             lang = None
@@ -81,7 +81,7 @@ class WhisperInference:
         if model_size != self.current_model_size:
             progress(0, desc="Initializing Model..")
             self.current_model_size = model_size
-            self.model = whisper.load_model(name=model_size, download_root="models")
+            self.model = whisper.load_model(name=model_size, download_root="models/Whisper")
 
         if lang == "Automatic Detection":
             lang = None
@@ -123,7 +123,7 @@ class WhisperInference:
         if model_size != self.current_model_size:
             progress(0, desc="Initializing Model..")
             self.current_model_size = model_size
-            self.model = whisper.load_model(name=model_size, download_root="models")
+            self.model = whisper.load_model(name=model_size, download_root="models/Whisper")
 
         if lang == "Automatic Detection":
             lang = None