optimize(web): remove unnecessary gt.Groups

web.py

@@ -831,7 +831,6 @@ with gr.Blocks(title="RVC WebUI") as app:
                 )
             modelinfo = gr.Textbox(label=i18n("Model info"), max_lines=8)
             with gr.TabItem(i18n("Single inference")):
-                with gr.Group():
                 with gr.Row():
                     with gr.Column():
                         vc_transform0 = gr.Number(
@@ -936,7 +935,7 @@ with gr.Blocks(title="RVC WebUI") as app:
                             outputs=[sid0, file_index2],
                             api_name="infer_refresh",
                         )
-                with gr.Group():
+
                 vc_output1 = gr.Textbox(label=i18n("Output information"))
 
                 but0.click(
@@ -1121,7 +1120,6 @@ with gr.Blocks(title="RVC WebUI") as app:
         with gr.TabItem(
             i18n("Vocals/Accompaniment Separation & Reverberation Removal")
         ):
-            with gr.Group():
             gr.Markdown(
                 value=i18n(
                     "Batch processing for vocal accompaniment separation using the UVR5 model.<br>Example of a valid folder path format: D:\\path\\to\\input\\folder (copy it from the file manager address bar).<br>The model is divided into three categories:<br>1. Preserve vocals: Choose this option for audio without harmonies. It preserves vocals better than HP5. It includes two built-in models: HP2 and HP3. HP3 may slightly leak accompaniment but preserves vocals slightly better than HP2.<br>2. Preserve main vocals only: Choose this option for audio with harmonies. It may weaken the main vocals. It includes one built-in model: HP5.<br>3. De-reverb and de-delay models (by FoxJoy):<br>  (1) MDX-Net: The best choice for stereo reverb removal but cannot remove mono reverb;<br>&emsp;(234) DeEcho: Removes delay effects. Aggressive mode removes more thoroughly than Normal mode. DeReverb additionally removes reverb and can remove mono reverb, but not very effectively for heavily reverberated high-frequency content.<br>De-reverb/de-delay notes:<br>1. The processing time for the DeEcho-DeReverb model is approximately twice as long as the other two DeEcho models.<br>2. The MDX-Net-Dereverb model is quite slow.<br>3. The recommended cleanest configuration is to apply MDX-Net first and then DeEcho-Aggressive."
@@ -1227,7 +1225,6 @@ with gr.Blocks(title="RVC WebUI") as app:
                     interactive=True,
                     visible=True,
                 )
-            with gr.Group():  # 暂时单人的, 后面支持最多4人的#数据处理
             gr.Markdown(
                 value=i18n(
                     "### Step 2. Audio processing. \n#### 1. Slicing.\nAutomatically traverse all files in the training folder that can be decoded into audio and perform slice normalization. Generates 2 wav folders in the experiment directory. Currently, only single-singer/speaker training is supported."
@@ -1255,7 +1252,6 @@ with gr.Blocks(title="RVC WebUI") as app:
                         [info1],
                         api_name="train_preprocess",
                     )
-            with gr.Group():
             gr.Markdown(
                 value=i18n(
                     "#### 2. Feature extraction.\nUse CPU to extract pitch (if the model has pitch), use GPU to extract features (select GPU index)."
@@ -1314,7 +1310,6 @@ with gr.Blocks(title="RVC WebUI") as app:
                     [info2],
                     api_name="train_extract_f0_feature",
                 )
-            with gr.Group():
             gr.Markdown(
                 value=i18n(
                     "### Step 3. Start training.\nFill in the training settings and start training the model and index."
@@ -1460,7 +1455,6 @@ with gr.Blocks(title="RVC WebUI") as app:
                 )
 
         with gr.TabItem(i18n("ckpt Processing")):
-            with gr.Group():
             gr.Markdown(
                 value=i18n(
                     "### Model comparison\n> You can get model ID (long) from `View model information` below.\n\nCalculate a similarity between two models."
@@ -1486,7 +1480,7 @@ with gr.Blocks(title="RVC WebUI") as app:
                 infomodelcmp,
                 api_name="ckpt_merge",
             )
-            with gr.Group():
+
             gr.Markdown(
                 value=i18n("### Model fusion\nCan be used to test timbre fusion.")
             )
@@ -1555,7 +1549,7 @@ with gr.Blocks(title="RVC WebUI") as app:
                 info4,
                 api_name="ckpt_merge",
             )  # def merge(path1,path2,alpha1,sr,f0,info):
-            with gr.Group():
+
             gr.Markdown(
                 value=i18n(
                     "### Modify model information\n> Only supported for small model files extracted from the 'weights' folder."
@@ -1589,7 +1583,7 @@ with gr.Blocks(title="RVC WebUI") as app:
                 info5,
                 api_name="ckpt_modify",
             )
-            with gr.Group():
+
             gr.Markdown(
                 value=i18n(
                     "### View model information\n> Only supported for small model files extracted from the 'weights' folder."
@@ -1602,7 +1596,7 @@ with gr.Blocks(title="RVC WebUI") as app:
                 with gr.Column():
                     info6 = gr.Textbox(label=i18n("Output information"), value="")
             but8.click(show_info, [ckpt_path1], info6, api_name="ckpt_show")
-            with gr.Group():
+
             gr.Markdown(
                 value=i18n(
                     "### Model extraction\n> Enter the path of the large file model under the 'logs' folder.\n\nThis is useful if you want to stop training halfway and manually extract and save a small model file, or if you want to test an intermediate model."