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				@@ -1,8 +1,7 @@ 
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				 import argparse 
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				 import os 
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				-import sys 
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				 import warnings 
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				-from typing import List, Optional, Tuple, Union, TYPE_CHECKING 
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				+from typing import Optional, Tuple, Union, TYPE_CHECKING 
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				 import numpy as np 
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				 import torch 
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				@@ -11,7 +10,7 @@ import tqdm 
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				 from .audio import SAMPLE_RATE, N_FRAMES, HOP_LENGTH, pad_or_trim, log_mel_spectrogram 
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				 from .decoding import DecodingOptions, DecodingResult 
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				 from .tokenizer import LANGUAGES, TO_LANGUAGE_CODE, get_tokenizer 
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				-from .utils import exact_div, format_timestamp, optional_int, optional_float, str2bool, get_writer 
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				+from .utils import exact_div, format_timestamp, make_safe, optional_int, optional_float, str2bool, get_writer 
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				 if TYPE_CHECKING: 
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				     from .model import Whisper 
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				@@ -166,11 +165,7 @@ def transcribe( 
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				             } 
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				         ) 
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				         if verbose: 
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				-            line = f"[{format_timestamp(start)} --> {format_timestamp(end)}] {text}\n" 
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				-            # compared to just `print(line)`, this replaces any character not representable using 
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				-            # the system default encoding with an '?', avoiding UnicodeEncodeError. 
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				-            sys.stdout.buffer.write(line.encode(sys.getdefaultencoding(), errors="replace")) 
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				-            sys.stdout.flush() 
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				+            print(make_safe(f"[{format_timestamp(start)} --> {format_timestamp(end)}] {text}")) 
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				     # show the progress bar when verbose is False (otherwise the transcribed text will be printed) 
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				     num_frames = mel.shape[-1] 
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