chore(format): run black on main

IAHispano · Jan 20, 2024 · 17db19d · 17db19d
1 parent 5f16923
commit 17db19d
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Showing 4 changed files with 98 additions and 89 deletions.
diff --git a/assets/Applio.ipynb b/assets/Applio.ipynb
@@ -1,84 +1,85 @@
 {
-  "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "cellView": "form",
-        "id": "vtON700qokuQ"
-      },
-      "outputs": [],
-      "source": [
-        "# @title **Install Applio**\n",
-        "\n",
-        "import codecs\n",
-        "import time\n",
-        "\n",
-        "orig_name_of_program = codecs.decode(\"Nccyvb\", \"rot_13\")\n",
-        "new_name_of_program = codecs.decode(\"cebtenz\", \"rot_13\")\n",
-        "uioawhd = codecs.decode(\"uggcf://tvguho.pbz/VNUvfcnab/Nccyvb.tvg\", \"rot_13\")\n",
-        "uyadwa = codecs.decode(\"ncc.cl\", \"rot_13\")\n",
-        "\n",
-        "from IPython.display import clear_output, Javascript\n",
-        "\n",
-        "!git clone --depth 1 $uioawhd\n",
-        "!mv $orig_name_of_program $new_name_of_program\n",
-        "%cd $new_name_of_program/\n",
-        "\n",
-        "clear_output()\n",
-        "file_path = \"requirements.txt\"\n",
-        "!pip install -r \"requirements.txt\" --quiet\n",
-        "\n",
-        "clear_output()\n",
-        "print(\"Finished installing requirements!\")"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "cellView": "form",
-        "id": "-7cQtXouqpQi"
-      },
-      "outputs": [],
-      "source": [
-        "# @title **Start Applio**\n",
-        "import codecs\n",
-        "uyadwa = codecs.decode(\"ncc.cl\", \"rot_13\")\n",
-        "\n",
-        "%load_ext tensorboard\n",
-        "%reload_ext tensorboard\n",
-        "%tensorboard --logdir logs --bind_all\n",
-        "\n",
-        "!python $uyadwa --share"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "ymhGfgFSR17k"
-      },
-      "source": [
-        "## **Credits**\n",
-        "- Special thanks to [Hina](https://github.com/hinabl) 💗\n",
-        "- [Blaise](https://github.com/blaise-tk) and [Applio Team](https://github.com/IAHispano)"
-      ]
-    }
-  ],
-  "metadata": {
-    "accelerator": "GPU",
-    "colab": {
-      "gpuType": "T4",
-      "provenance": []
-    },
-    "kernelspec": {
-      "display_name": "Python 3",
-      "name": "python3"
-    },
-    "language_info": {
-      "name": "python"
-    }
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "cellView": "form",
+    "id": "vtON700qokuQ"
+   },
+   "outputs": [],
+   "source": [
+    "# @title **Install Applio**\n",
+    "\n",
+    "import codecs\n",
+    "import time\n",
+    "\n",
+    "orig_name_of_program = codecs.decode(\"Nccyvb\", \"rot_13\")\n",
+    "new_name_of_program = codecs.decode(\"cebtenz\", \"rot_13\")\n",
+    "uioawhd = codecs.decode(\"uggcf://tvguho.pbz/VNUvfcnab/Nccyvb.tvg\", \"rot_13\")\n",
+    "uyadwa = codecs.decode(\"ncc.cl\", \"rot_13\")\n",
+    "\n",
+    "from IPython.display import clear_output, Javascript\n",
+    "\n",
+    "!git clone --depth 1 $uioawhd\n",
+    "!mv $orig_name_of_program $new_name_of_program\n",
+    "%cd $new_name_of_program/\n",
+    "\n",
+    "clear_output()\n",
+    "file_path = \"requirements.txt\"\n",
+    "!pip install -r \"requirements.txt\" --quiet\n",
+    "\n",
+    "clear_output()\n",
+    "print(\"Finished installing requirements!\")"
+   ]
   },
-  "nbformat": 4,
-  "nbformat_minor": 0
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "cellView": "form",
+    "id": "-7cQtXouqpQi"
+   },
+   "outputs": [],
+   "source": [
+    "# @title **Start Applio**\n",
+    "import codecs\n",
+    "\n",
+    "uyadwa = codecs.decode(\"ncc.cl\", \"rot_13\")\n",
+    "\n",
+    "%load_ext tensorboard\n",
+    "%reload_ext tensorboard\n",
+    "%tensorboard --logdir logs --bind_all\n",
+    "\n",
+    "!python $uyadwa --share"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "ymhGfgFSR17k"
+   },
+   "source": [
+    "## **Credits**\n",
+    "- Special thanks to [Hina](https://github.com/hinabl) 💗\n",
+    "- [Blaise](https://github.com/blaise-tk) and [Applio Team](https://github.com/IAHispano)"
+   ]
+  }
+ ],
+ "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "gpuType": "T4",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
 }
diff --git a/assets/discord_presence.py b/assets/discord_presence.py
@@ -2,6 +2,7 @@
 import datetime as dt
 import time
 
+
 def rich_presence():
     client_id = "1144714449563955302"
     RPC = Presence(client_id)
@@ -23,6 +24,7 @@ def rich_presence():
         print(f"An error occurred: {e}")
         return None
 
+
 if __name__ == "__main__":
     rpc = rich_presence()
 

diff --git a/rvc/infer/infer.py b/rvc/infer/infer.py
@@ -83,7 +83,9 @@ def vc_single(
             result, new_dir_path = process_audio(input_audio_path)
             if result == "Error":
                 return "Error with Split Audio", None
-            dir_path = new_dir_path.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
+            dir_path = (
+                new_dir_path.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
+            )
             if dir_path != "":
                 paths = [
                     os.path.join(root, name)
@@ -108,14 +110,17 @@ def vc_single(
                         path,
                         False,
                     )
-                    #new_dir_path
+                    # new_dir_path
             except Exception as error:
                 print(error)
                 return "Error", None
             print("Finished processing segmented audio, now merging audio...")
-            merge_timestamps_file = os.path.join(os.path.dirname(new_dir_path), f"{os.path.basename(input_audio_path).split('.')[0]}_timestamps.txt")
-            tgt_sr, audio_opt  = merge_audio(merge_timestamps_file)
-
+            merge_timestamps_file = os.path.join(
+                os.path.dirname(new_dir_path),
+                f"{os.path.basename(input_audio_path).split('.')[0]}_timestamps.txt",
+            )
+            tgt_sr, audio_opt = merge_audio(merge_timestamps_file)
+
         else:
             audio_opt = vc.pipeline(
                 hubert_model,
@@ -137,7 +142,6 @@ def vc_single(
                 hop_length,
                 f0_file=f0_file,
             )
-
 
         if output_path is not None:
             sf.write(output_path, audio_opt, tgt_sr, format="WAV")
@@ -243,7 +247,7 @@ def get_vc(weight_root, sid):
         index_rate=index_rate,
         hop_length=hop_length,
         output_path=output_file,
-        split_audio=split_audio
+        split_audio=split_audio,
     )
 
     if os.path.exists(output_file) and os.path.getsize(output_file) > 0:

diff --git a/rvc/train/train.py b/rvc/train/train.py
@@ -573,7 +573,9 @@ def train_and_evaluate(rank, epoch, hps, nets, optims, scaler, loaders, writers,
             )
 
     if rank == 0:
-        print(f"{hps.name} | epoch={epoch} | step={global_step} | {epoch_recorder.record()} | loss_disc={loss_disc:.3f} | loss_gen={loss_gen:.3f} | loss_fm={loss_fm:.3f} | loss_mel={loss_mel:.3f} | loss_kl={loss_kl:.3f}")
+        print(
+            f"{hps.name} | epoch={epoch} | step={global_step} | {epoch_recorder.record()} | loss_disc={loss_disc:.3f} | loss_gen={loss_gen:.3f} | loss_fm={loss_fm:.3f} | loss_mel={loss_mel:.3f} | loss_kl={loss_kl:.3f}"
+        )
     if epoch >= hps.total_epoch and rank == 0:
         print(
             f"Training has been successfully completed with {epoch} epoch and {global_step} steps."