fix: streamline transcription process by removing NumPy 2.0 compatibility handling

app.py

@@ -55,27 +55,8 @@ def transcribe(audio, state=""):
             sf.write(temp_file, audio_data, samplerate=16000)
             print(f"Processing temporary audio file: {temp_file}")
             
-            # Handling NumPy 2.0 compatibility issue
-            try:
-                transcription = model.transcribe([temp_file])[0]
-                print(type(transcription))
-            except AttributeError as e:
-                if "np.sctypes" in str(e):
-                    print("Handling NumPy 2.0 compatibility issue")
-                    # Using a workaround to handle the np.sctypes removal
-                    import numpy as np
-                    # Create a temporary sctypes attribute if needed by older code
-                    if not hasattr(np, 'sctypes'):
-                        np.sctypes = {
-                            'int': [np.int8, np.int16, np.int32, np.int64],
-                            'uint': [np.uint8, np.uint16, np.uint32, np.uint64],
-                            'float': [np.float16, np.float32, np.float64],
-                            'complex': [np.complex64, np.complex128]
-                        }
-                    # Try again
-                    transcription = model.transcribe([temp_file])[0]
-                else:
-                    raise
+            transcription = model.transcribe([temp_file])[0]
+            print(type(transcription))
                     
             os.remove(temp_file)  # Clean up
             print("Temporary file removed.")