add cli tutorials

notebooks/Getting_started.ipynb

@@ -287,8 +287,120 @@
     "<div id=\"cli\"></div>\n",
     "\n",
     "\n",
-    "### Mayavoz CLI"
+    "## Mayavoz CLI"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2bbf2747",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "! pip install mayavoz[cli]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4447dd07",
+   "metadata": {},
+   "source": [
+    "### TL;DR\n",
+    "Calling the following command would train mayavoz Demucs model on DNS-2020 dataset.\n",
+    "\n",
+    "```bash\n",
+    "mayavoz-train \\\n",
+    "    model=Demucs \\\n",
+    "    Demucs.sampling_rate=16000 \\\n",
+    "    dataset=DNS-2020 \\\n",
+    "    DNS-2020.name = \"dns-2020\" \\\n",
+    "    DNS-2020.root_dir=\"your_root_dir\" \\\n",
+    "    DNS-2020.train_clean=\"\" \\\n",
+    "    DNS-2020.train_noisy=\"\" \\\n",
+    "    DNS-2020.test_clean=\"\" \\\n",
+    "    DNS-2020.test_noisy=\"\" \\\n",
+    "    DNS-2020.sampling_rate=16000 \\\n",
+    "    DNS-2020.duration=2.0 \\\n",
+    "    traine=default \\ \n",
+    "    default.max_epochs=1 \\\n",
+    "\n",
+    "```\n",
+    "\n",
+    "This is more or less equaivalent to below code"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9278742a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from mayavoz.utils import Files\n",
+    "from mayavoz.data import MayaDataset\n",
+    "from mayavoz.models import Demucs\n",
+    "\n",
+    "files = Files(\n",
+    "        train_clean=\"\",\n",
+    "        train_noisy=\"\",\n",
+    "        test_clean=\"\",\n",
+    "        test_noisy=\"\"\n",
+    ")\n",
+    "dataset = MayaDataset(\n",
+    "                    name='dns-2020'\n",
+    "                    root_dir=\"your_root_dir\",\n",
+    "                    files=files,\n",
+    "                    sampling_rate=16000,\n",
+    "                    duration=2.0)\n",
+    "model = Demucs(dataset=dataset,sampling_rate=16000)\n",
+    "trainer = Trainer(max_epochs=1)\n",
+    "trainer.fit(model)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eb26692c",
+   "metadata": {},
+   "source": [
+    "Hydra-based configuration\n",
+    "mayavoz-train relies on Hydra to configure the training process. Adding --cfg job option to the previous command will let you know about the actual configuration used for training:\n",
+    "\n",
+    "```bash\n",
+    "mayavoz-train --cfg job \\\n",
+    "    model=Demucs \\\n",
+    "    Demucs.sampling_rate=16000 \\\n",
+    "    dataset=DNS-2020\n",
+    "\n",
+    "```\n",
+    "\n",
+    "```yaml\n",
+    "_target_: enhancer.models.demucs.Demucs\n",
+    "num_channels: 1\n",
+    "resample: 4\n",
+    "sampling_rate : 16000\n",
+    "\n",
+    "encoder_decoder:\n",
+    "  depth: 4\n",
+    "  initial_output_channels: 64\n",
+    "  \n",
+    "[...]\n",
+    "```\n",
+    "\n",
+    "To change the sampling_rate, you can \n",
+    "\n",
+    "```bash\n",
+    "mayavoz-train \\\n",
+    "    model=Demucs model.sampling_rate=16000 \\\n",
+    "    dataset=DNS-2020\n",
+    "\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "93555860",
+   "metadata": {},
+   "source": []
   }
  ],
  "metadata": {