Created tensorboard easy access via Makefile. Set maximum value of total_epoch on training to 10,000 instead of 1000. Updated Readme accordingly, and planning on starting the crepe training feature soon.

Makefile

@@ -34,4 +34,8 @@ base: ## Download base files (Do only once after cloning the fork)
 	aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt -d ./ -o hubert_base.pt
 
 run: ## Run the python GUI
-	python infer-web.py --paperspace --pycmd python
+	python infer-web.py --paperspace --pycmd python
+
+tensorboard: ## Start the tensorboard (Run on separate terminal)
+	echo https://tensorboard-$$(hostname).clg07azjl.paperspacegradient.com
+	tensorboard --logdir logs --bind_all

README.md

@@ -37,6 +37,8 @@ A fork of an easy-to-use SVC framework based on VITS with top1 retrieval 💯. <
 + Paperspace integration
   + Paperspace argument on infer-web.py (--paperspace) that shares a gradio link
   + Make file for paperspace users
++ Tensorboard access via Makefile (make tensorboard)
++ Total epoch slider for the training now limited to 10,000 not just 1000.
 
 ## This repository has the following features too:
 + Reduce tone leakage by replacing source feature to training-set feature using top1 retrieval;
@@ -89,13 +91,24 @@ hubert_base.pt
 #If you are using Windows, you may also need this dictionary, skip if FFmpeg is installed
 ffmpeg.exe
 ```
-# Running the Web GUI to Infer & Train
+# Running the Web GUI to Infer & Train 💪
 
 ## For paperspace users:
 ```bash
 cd Mangio-RVC-Fork
 make run
 ```
+Then click the gradio link it provides.
+
+# Running the Tensorboard 📉
+```bash
+cd Mangio-RVC-Fork
+make tensorboard
+```
+Then click the tensorboard link it provides and refresh the data.
+
+# Other 
+
 If you are using Windows, you can download and extract `RVC-beta.7z` to use RVC directly and use `go-web.bat` to start Webui.
 
 There's also a tutorial on RVC in Chinese and you can check it out if needed.

infer-web.py

@@ -1319,7 +1319,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as app:
                     )
                     total_epoch11 = gr.Slider(
                         minimum=0,
-                        maximum=1000,
+                        maximum=10000,
                         step=1,
                         label=i18n("总训练轮数total_epoch"),
                         value=20,