Delete tools/cmd-denoise.py

tools/cmd-denoise.py

@@ -1,33 +0,0 @@
-import os,argparse
-import traceback
-
-from modelscope.pipelines import pipeline
-from modelscope.utils.constant import Tasks
-from tqdm import tqdm
-
-path_denoise  = 'tools/denoise-model/speech_frcrn_ans_cirm_16k'
-path_denoise  = path_denoise  if os.path.exists(path_denoise)  else "damo/speech_frcrn_ans_cirm_16k"
-ans = pipeline(Tasks.acoustic_noise_suppression,model=path_denoise)
-def execute_denoise(input_folder,output_folder):
-    os.makedirs(output_folder,exist_ok=True)
-    # print(input_folder)
-    # print(list(os.listdir(input_folder).sort()))
-    for name in tqdm(os.listdir(input_folder)):
-        try:
-            ans("%s/%s"%(input_folder,name),output_path='%s/%s'%(output_folder,name))
-        except:
-            traceback.print_exc()
-
-if __name__ == '__main__':
-    parser = argparse.ArgumentParser()
-    parser.add_argument("-i", "--input_folder", type=str, required=True,
-                        help="Path to the folder containing WAV files.")
-    parser.add_argument("-o", "--output_folder", type=str, required=True, 
-                        help="Output folder to store transcriptions.")
-    parser.add_argument("-p", "--precision", type=str, default='float16', choices=['float16','float32'],
-                        help="fp16 or fp32")#还没接入
-    cmd = parser.parse_args()
-    execute_denoise(
-        input_folder  = cmd.input_folder,
-        output_folder = cmd.output_folder,
-    )