COM

app.py

@@ -947,18 +947,18 @@ with app:
 
                     compress_model_btn.click(model_compression, [model_to_compress], [compress_model_output])
 
-        get_raw_dirs.click(load_raw_dirs,[],[raw_dirs_list])
-        raw_preprocess.click(dataset_preprocess,[branch_selection, f0_predictor_selection, use_diff, vol_aug, skip_loudnorm, num_processes],[preprocess_output, speakers])
-        regenerate_config_btn.click(regenerate_config,[branch_selection, vol_aug],[preprocess_output])
-        clear_preprocess_output.click(clear_output,[],[preprocess_output])
-        save_params.click(save_default_settings, [log_interval,eval_interval,keep_ckpts,batch_size,lr,fp16_run,all_in_mem,diff_num_workers,diff_cache_all_data,diff_cache_device,diff_amp_dtype,diff_batch_size,diff_lr,diff_interval_log,diff_interval_val,diff_force_save], [write_config_output])
-        write_config.click(config_fn,[log_interval, eval_interval, keep_ckpts, batch_size, lr, fp16_run, all_in_mem, diff_num_workers, diff_cache_all_data, diff_batch_size, diff_lr, diff_interval_log, diff_interval_val, diff_cache_device, diff_amp_dtype, diff_force_save],[write_config_output])
-        start_training.click(training,[gpu_selection, branch_selection],[training_output])
-        diff_training_btn.click(diff_training,[branch_selection],[diff_training_output])
-        continue_training_btn.click(continue_training,[gpu_selection, branch_selection],[continue_training_output])
-        diff_continue_training_btn.click(diff_continue_training,[branch_selection],[diff_continue_training_output])
-        kmeans_button.click(kmeans_training,[kmeans_gpu],[kmeans_output])
-        index_button.click(index_training, [], [index_output])
+        #get_raw_dirs.click(load_raw_dirs,[],[raw_dirs_list])
+        #raw_preprocess.click(dataset_preprocess,[branch_selection, f0_predictor_selection, use_diff, vol_aug, skip_loudnorm, num_processes],[preprocess_output, speakers])
+        #regenerate_config_btn.click(regenerate_config,[branch_selection, vol_aug],[preprocess_output])
+        #clear_preprocess_output.click(clear_output,[],[preprocess_output])
+        #save_params.click(save_default_settings, [log_interval,eval_interval,keep_ckpts,batch_size,lr,fp16_run,all_in_mem,diff_num_workers,diff_cache_all_data,diff_cache_device,diff_amp_dtype,diff_batch_size,diff_lr,diff_interval_log,diff_interval_val,diff_force_save], [write_config_output])
+        #write_config.click(config_fn,[log_interval, eval_interval, keep_ckpts, batch_size, lr, fp16_run, all_in_mem, diff_num_workers, diff_cache_all_data, diff_batch_size, diff_lr, diff_interval_log, diff_interval_val, diff_cache_device, diff_amp_dtype, diff_force_save],[write_config_output])
+        #start_training.click(training,[gpu_selection, branch_selection],[training_output])
+        #diff_training_btn.click(diff_training,[branch_selection],[diff_training_output])
+        #continue_training_btn.click(continue_training,[gpu_selection, branch_selection],[continue_training_output])
+        #diff_continue_training_btn.click(diff_continue_training,[branch_selection],[diff_continue_training_output])
+        #kmeans_button.click(kmeans_training,[kmeans_gpu],[kmeans_output])
+        #index_button.click(index_training, [], [index_output])
 
     with gr.Tabs():
         with gr.Row(variant="panel"):