Update vosk_handler.py

vosk_handler.py

@@ -1,28 +1,28 @@
-from vosk import Model, KaldiRecognizer
-import wave
-import json
-
-class VoskTranscriber:
-    def __init__(self, model_path=r"Vosk\vosk-model-small-en-us-0.15"):
-        self.model = Model(model_path)
-    
-    def transcribe_audio(self, audio_data):
-        try:
-            with wave.open(audio_data, "rb") as wf:
-                recognizer = KaldiRecognizer(self.model, wf.getframerate())
-                recognizer.SetWords(True)
-                
-                text = ""
-                while data := wf.readframes(4000):
-                    if recognizer.AcceptWaveform(data):
-                        text += json.loads(recognizer.Result())["text"] + " "
-                
-                text += json.loads(recognizer.FinalResult())["text"]
-                return {"success": True, "text": text.strip()}
-        except Exception as e:
-            return {"success": False, "error": str(e)}
-        
-        
-if __name__ == "__main__":
-    transcriber = VoskTranscriber()
-    print(transcriber.transcribe_audio("output.wav"))
+from vosk import Model, KaldiRecognizer
+import wave
+import json
+
+class VoskTranscriber:
+    def __init__(self, model_path="Vosk/vosk-model-small-en-us-0.15"):
+        self.model = Model(model_path)
+    
+    def transcribe_audio(self, audio_data):
+        try:
+            with wave.open(audio_data, "rb") as wf:
+                recognizer = KaldiRecognizer(self.model, wf.getframerate())
+                recognizer.SetWords(True)
+                
+                text = ""
+                while data := wf.readframes(4000):
+                    if recognizer.AcceptWaveform(data):
+                        text += json.loads(recognizer.Result())["text"] + " "
+                
+                text += json.loads(recognizer.FinalResult())["text"]
+                return {"success": True, "text": text.strip()}
+        except Exception as e:
+            return {"success": False, "error": str(e)}
+        
+        
+if __name__ == "__main__":
+    transcriber = VoskTranscriber()
+    print(transcriber.transcribe_audio("output.wav"))