using model.pth and index.pth by default: fixed run()

app.py

@@ -109,10 +109,8 @@ def convert_now(audio_files, random_tag, converter):
 
 def run(
     audio_files,
-    file_m,
     pitch_alg,
     pitch_lvl,
-    file_index,
     index_inf,
     r_m_f,
     e_r,
@@ -124,22 +122,22 @@ def run(
     if isinstance(audio_files, str):
         audio_files = [audio_files]
 
-    if file_m is None:
-        file_m = default_model_path
-        file_index = default_index_path        
+    # if file_m is None:
+    #     file_m = default_model_path
+    #     file_index = default_index_path        
 
-    if file_m is not None and file_m.endswith(".txt"):
-        file_m, file_index = find_my_model(file_m, file_index)
-        print(file_m, file_index)
+    # if file_m is not None and file_m.endswith(".txt"):
+    #     file_m, file_index = find_my_model(file_m, file_index)
+    #     print(file_m, file_index)
 
     random_tag = "USER_"+str(random.randint(10000000, 99999999))
 
     converter.apply_conf(
         tag=random_tag,
-        file_model=file_m,
+        file_model=default_model_path,
         pitch_algo=pitch_alg,
         pitch_lvl=pitch_lvl,
-        file_index=file_index,
+        file_index=default_index_path,
         index_influence=index_inf,
         respiration_median_filtering=r_m_f,
         envelope_ratio=e_r,