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            "Building wheels for collected packages: encodec, langid, pyopenjtalk, eng_to_ipa, openai-whisper, ffmpy, pylatexenc\n",
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            "  Stored in directory: /root/.cache/pip/wheels/b2/13/5f/fe8245f6dc59df505879da4b2129932e342f02a80e6b87f27d\n",
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            "  Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=406f621914cf4087158110635cd68b9f1f6c69aa6ce3c3d6f22c4bb4ad5990e6\n",
            "  Stored in directory: /root/.cache/pip/wheels/01/a6/d1/1c0828c304a4283b2c1639a09ad86f83d7c487ef34c6b4a1bf\n",
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            "  Created wheel for pylatexenc: filename=pylatexenc-2.10-py3-none-any.whl size=136818 sha256=e855e796b90848740f0d71b0f2d44d79ace46de5c0916bed9138a5b47888b16d\n",
            "  Stored in directory: /root/.cache/pip/wheels/d3/31/8b/e09b0386afd80cfc556c00408c9aeea5c35c4d484a9c762fd5\n",
            "Successfully built encodec langid pyopenjtalk eng_to_ipa openai-whisper ffmpy pylatexenc\n",
            "Installing collected packages: tokenizers, SudachiPy, rfc3986, pylatexenc, pydub, language-tags, ffmpy, eng_to_ipa, dlinfo, websockets, unidecode, semantic-version, ruamel.yaml.clib, python-multipart, pypinyin, pyopenjtalk, Pillow, orjson, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cublas-cu11, loguru, langid, isodate, h11, ffmpeg-python, einops, deepfilterlib, colorlog, colorama, aiofiles, uvicorn, tiktoken, starlette, ruamel.yaml, rdflib, nvidia-cudnn-cu11, matplotlib, huggingface-hub, httpcore, deepfilternet, clldutils, torch, proces, httpx, fastapi, torchvision, torchaudio, gradio-client, csvw, cn2an, segments, openai-whisper, gradio, encodec, phonemizer\n",
            "  Attempting uninstall: Pillow\n",
            "    Found existing installation: Pillow 9.4.0\n",
            "    Uninstalling Pillow-9.4.0:\n",
            "      Successfully uninstalled Pillow-9.4.0\n",
            "  Attempting uninstall: matplotlib\n",
            "    Found existing installation: matplotlib 3.7.1\n",
            "    Uninstalling matplotlib-3.7.1:\n",
            "      Successfully uninstalled matplotlib-3.7.1\n",
            "  Attempting uninstall: torch\n",
            "    Found existing installation: torch 2.0.1+cu118\n",
            "    Uninstalling torch-2.0.1+cu118:\n",
            "      Successfully uninstalled torch-2.0.1+cu118\n",
            "  Attempting uninstall: torchvision\n",
            "    Found existing installation: torchvision 0.15.2+cu118\n",
            "    Uninstalling torchvision-0.15.2+cu118:\n",
            "      Successfully uninstalled torchvision-0.15.2+cu118\n",
            "  Attempting uninstall: torchaudio\n",
            "    Found existing installation: torchaudio 2.0.2+cu118\n",
            "    Uninstalling torchaudio-2.0.2+cu118:\n",
            "      Successfully uninstalled torchaudio-2.0.2+cu118\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "torchdata 0.6.1 requires torch==2.0.1, but you have torch 1.13.0 which is incompatible.\n",
            "torchtext 0.15.2 requires torch==2.0.1, but you have torch 1.13.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed Pillow-9.3.0 SudachiPy-0.6.7 aiofiles-23.2.1 clldutils-3.19.0 cn2an-0.5.22 colorama-0.4.6 colorlog-6.7.0 csvw-3.1.3 deepfilterlib-0.4.0 deepfilternet-0.4.0 dlinfo-1.2.1 einops-0.6.1 encodec-0.1.1 eng_to_ipa-0.0.2 fastapi-0.102.0 ffmpeg-python-0.2.0 ffmpy-0.3.1 gradio-3.41.2 gradio-client-0.5.0 h11-0.14.0 httpcore-0.17.3 httpx-0.24.1 huggingface-hub-0.16.4 isodate-0.6.1 langid-1.1.6 language-tags-1.2.0 loguru-0.7.0 matplotlib-3.6.0 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 openai-whisper-20230314 orjson-3.9.5 phonemizer-3.2.1 proces-0.1.6 pydub-0.25.1 pylatexenc-2.10 pyopenjtalk-0.3.2 pypinyin-0.49.0 python-multipart-0.0.6 rdflib-7.0.0 rfc3986-1.5.0 ruamel.yaml-0.17.32 ruamel.yaml.clib-0.2.7 segments-2.2.1 semantic-version-2.10.0 starlette-0.27.0 tiktoken-0.3.1 tokenizers-0.13.3 torch-1.13.0 torchaudio-0.13.0 torchvision-0.14.0 unidecode-1.3.6 uvicorn-0.23.2 websockets-11.0.3\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL",
                  "matplotlib",
                  "mpl_toolkits"
                ]
              }
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Use 8 cpu cores for computing\n",
            "\u001b[32m2023-08-26 08:37:46\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mRunning on torch 1.13.0+cu117\u001b[0m\n",
            "\u001b[32m2023-08-26 08:37:46\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mRunning on host 9c761cac9be2\u001b[0m\n",
            "\u001b[32m2023-08-26 08:37:46\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mLoading model settings of DeepFilterNet2\u001b[0m\n",
            "\u001b[32m2023-08-26 08:37:46\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mInitializing model `deepfilternet2`\u001b[0m\n",
            "\u001b[32m2023-08-26 08:37:48\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mFound checkpoint ./DeepFilterNet2/checkpoints/model_96.ckpt.best with epoch 96\u001b[0m\n",
            "\u001b[32m2023-08-26 08:37:48\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mRunning on device cuda:0\u001b[0m\n",
            "\u001b[32m2023-08-26 08:37:48\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mModel loaded\u001b[0m\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading: \"https://dl.fbaipublicfiles.com/encodec/v0/encodec_24khz-d7cc33bc.th\" to /root/.cache/torch/hub/checkpoints/encodec_24khz-d7cc33bc.th\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0.00/88.9M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a31c166927d64e228ba4ff68cf5144d5"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████████████████████████████████| 1.42G/1.42G [00:08<00:00, 186MiB/s]\n",
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt.zip.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
            "Note: opening Chrome Inspector may crash demo inside Colab notebooks.\n",
            "\n",
            "To create a public link, set `share=True` in `launch()`.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "(async (port, path, width, height, cache, element) => {\n",
              "                        if (!google.colab.kernel.accessAllowed && !cache) {\n",
              "                            return;\n",
              "                        }\n",
              "                        element.appendChild(document.createTextNode(''));\n",
              "                        const url = await google.colab.kernel.proxyPort(port, {cache});\n",
              "\n",
              "                        const external_link = document.createElement('div');\n",
              "                        external_link.innerHTML = `\n",
              "                            <div style=\"font-family: monospace; margin-bottom: 0.5rem\">\n",
              "                                Running on <a href=${new URL(path, url).toString()} target=\"_blank\">\n",
              "                                    https://localhost:${port}${path}\n",
              "                                </a>\n",
              "                            </div>\n",
              "                        `;\n",
              "                        element.appendChild(external_link);\n",
              "\n",
              "                        const iframe = document.createElement('iframe');\n",
              "                        iframe.src = new URL(path, url).toString();\n",
              "                        iframe.height = height;\n",
              "                        iframe.allow = \"autoplay; camera; microphone; clipboard-read; clipboard-write;\"\n",
              "                        iframe.width = width;\n",
              "                        iframe.style.border = 0;\n",
              "                        element.appendChild(iframe);\n",
              "                    })(7860, \"/\", \"100%\", 500, false, window.element)"
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "# This takes about 4 minutes until the UI pop up\n",
        "!git lfs install\n",
        "!git clone https://huggingface.co/spaces/kevinwang676/VALLE\n",
        "%cd VALLE\n",
        "!pip install --no-build-isolation -r requirements.txt\n",
        "!pip install gradio\n",
        "%run app.py"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Bi3_ZGQM7Yoe"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}