added requirements.txt

clone_voice.ipynb

@@ -2,9 +2,20 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/akash/miniconda3/envs/vcloning/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n",
+      "Downloading: \"https://dl.fbaipublicfiles.com/encodec/v0/encodec_24khz-d7cc33bc.th\" to /home/akash/.cache/torch/hub/checkpoints/encodec_24khz-d7cc33bc.th\n",
+      "100.0%\n"
+     ]
+    }
+   ],
    "source": [
     "from bark.generation import load_codec_model, generate_text_semantic\n",
     "from encodec.utils import convert_audio\n",
@@ -18,9 +29,50 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading HuBERT base model\n",
+      "Downloaded HuBERT\n",
+      "Downloading HuBERT custom tokenizer\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Downloading (…)rt_base_ls960_14.pth: 100%|██████████| 104M/104M [00:12<00:00, 8.03MB/s] "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloaded tokenizer\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'data/models/hubert/tokenizer.pth'"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# From https://github.com/gitmylo/bark-voice-cloning-HuBERT-quantizer\n",
     "from hubert.hubert_manager import HuBERTManager\n",
@@ -31,9 +83,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mThe Kernel crashed while executing code in the the current cell or a previous cell. Please review the code in the cell(s) to identify a possible cause of the failure. Click <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. View Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
+     ]
+    }
+   ],
    "source": [
     "# From https://github.com/gitmylo/bark-voice-cloning-HuBERT-quantizer \n",
     "# Load HuBERT for semantic tokens\n",
@@ -246,7 +307,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.10.12"
   },
   "orig_nbformat": 4
  },

generate.ipynb

@@ -2,9 +2,21 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'scipy'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "\u001b[1;32m/home/akash/Projects/Project/bark-with-voice-clone/generate.ipynb Cell 1\u001b[0m line \u001b[0;36m2\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/akash/Projects/Project/bark-with-voice-clone/generate.ipynb#W0sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mIPython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mdisplay\u001b[39;00m \u001b[39mimport\u001b[39;00m Audio\n\u001b[0;32m----> <a href='vscode-notebook-cell:/home/akash/Projects/Project/bark-with-voice-clone/generate.ipynb#W0sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mscipy\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mio\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mwavfile\u001b[39;00m \u001b[39mimport\u001b[39;00m write \u001b[39mas\u001b[39;00m write_wav\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/akash/Projects/Project/bark-with-voice-clone/generate.ipynb#W0sZmlsZQ%3D%3D?line=3'>4</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mbark\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mapi\u001b[39;00m \u001b[39mimport\u001b[39;00m generate_audio\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/akash/Projects/Project/bark-with-voice-clone/generate.ipynb#W0sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mbark\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mgeneration\u001b[39;00m \u001b[39mimport\u001b[39;00m SAMPLE_RATE, preload_models, codec_decode, generate_coarse, generate_fine, generate_text_semantic\n",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'scipy'"
+     ]
+    }
+   ],
    "source": [
     "from IPython.display import Audio\n",
     "from scipy.io.wavfile import write as write_wav\n",
@@ -164,7 +176,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.10.12"
   },
   "orig_nbformat": 4
  },

requirements.txt

@@ -0,0 +1,9 @@
+numpy
+encodec
+funcy
+scipy
+tqdm
+transformers
+fairseq
+tensorboardX
+audiolm_pytorch