diff --git "a/scripts/diarization.ipynb" "b/scripts/diarization.ipynb"
new file mode 100644--- /dev/null
+++ "b/scripts/diarization.ipynb"
@@ -0,0 +1,2687 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "tSgZ1iYh-Y0u",
+        "outputId": "84aa9c1d-2e4e-45c4-f55b-19e0eb7489bd"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Found existing installation: pyannote.audio 3.1.1\n",
+            "Uninstalling pyannote.audio-3.1.1:\n",
+            "  Successfully uninstalled pyannote.audio-3.1.1\n",
+            "Found existing installation: pyannote.core 5.0.0\n",
+            "Uninstalling pyannote.core-5.0.0:\n",
+            "  Successfully uninstalled pyannote.core-5.0.0\n",
+            "Found existing installation: pyannote.database 5.1.3\n",
+            "Uninstalling pyannote.database-5.1.3:\n",
+            "  Successfully uninstalled pyannote.database-5.1.3\n",
+            "Found existing installation: torch 2.2.2+cu118\n",
+            "Uninstalling torch-2.2.2+cu118:\n",
+            "  Successfully uninstalled torch-2.2.2+cu118\n",
+            "Found existing installation: torchaudio 2.2.2+cu118\n",
+            "Uninstalling torchaudio-2.2.2+cu118:\n",
+            "  Successfully uninstalled torchaudio-2.2.2+cu118\n",
+            "Found existing installation: torchvision 0.17.2+cu118\n",
+            "Uninstalling torchvision-0.17.2+cu118:\n",
+            "  Successfully uninstalled torchvision-0.17.2+cu118\n",
+            "Found existing installation: huggingface-hub 0.36.0\n",
+            "Uninstalling huggingface-hub-0.36.0:\n",
+            "  Successfully uninstalled huggingface-hub-0.36.0\n",
+            "Files removed: 274\n"
+          ]
+        }
+      ],
+      "source": [
+        "!pip uninstall -y pyannote.audio pyannote.core pyannote.database\n",
+        "!pip uninstall -y torch torchaudio torchvision huggingface_hub\n",
+        "!pip cache purge\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 810
+        },
+        "id": "kL3q2IXFbSXK",
+        "outputId": "d0c5fc69-f79e-4bdf-ca34-5d64eb663544"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Looking in links: https://download.pytorch.org/whl/torch_stable.html\n",
+            "Collecting torch==2.2.2+cu118\n",
+            "  Downloading https://download.pytorch.org/whl/cu118/torch-2.2.2%2Bcu118-cp312-cp312-linux_x86_64.whl (819.1 MB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m819.1/819.1 MB\u001b[0m \u001b[31m2.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hCollecting torchaudio==2.2.2+cu118\n",
+            "  Downloading https://download.pytorch.org/whl/cu118/torchaudio-2.2.2%2Bcu118-cp312-cp312-linux_x86_64.whl (3.3 MB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.3/3.3 MB\u001b[0m \u001b[31m106.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hCollecting torchvision==0.17.2+cu118\n",
+            "  Downloading https://download.pytorch.org/whl/cu118/torchvision-0.17.2%2Bcu118-cp312-cp312-linux_x86_64.whl (6.2 MB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.2/6.2 MB\u001b[0m \u001b[31m123.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (3.20.3)\n",
+            "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (4.15.0)\n",
+            "Requirement already satisfied: sympy in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (1.14.0)\n",
+            "Requirement already satisfied: networkx in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (3.6.1)\n",
+            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (3.1.6)\n",
+            "Requirement already satisfied: fsspec in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (2025.3.0)\n",
+            "Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.8.89 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.89)\n",
+            "Requirement already satisfied: nvidia-cuda-runtime-cu11==11.8.89 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.89)\n",
+            "Requirement already satisfied: nvidia-cuda-cupti-cu11==11.8.87 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.87)\n",
+            "Requirement already satisfied: nvidia-cudnn-cu11==8.7.0.84 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (8.7.0.84)\n",
+            "Requirement already satisfied: nvidia-cublas-cu11==11.11.3.6 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.11.3.6)\n",
+            "Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (10.9.0.58)\n",
+            "Requirement already satisfied: nvidia-curand-cu11==10.3.0.86 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (10.3.0.86)\n",
+            "Requirement already satisfied: nvidia-cusolver-cu11==11.4.1.48 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.4.1.48)\n",
+            "Requirement already satisfied: nvidia-cusparse-cu11==11.7.5.86 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.7.5.86)\n",
+            "Requirement already satisfied: nvidia-nccl-cu11==2.19.3 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (2.19.3)\n",
+            "Requirement already satisfied: nvidia-nvtx-cu11==11.8.86 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.86)\n",
+            "Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from torchvision==0.17.2+cu118) (1.26.4)\n",
+            "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.12/dist-packages (from torchvision==0.17.2+cu118) (11.3.0)\n",
+            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.12/dist-packages (from jinja2->torch==2.2.2+cu118) (3.0.3)\n",
+            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.12/dist-packages (from sympy->torch==2.2.2+cu118) (1.3.0)\n",
+            "Installing collected packages: torch, torchvision, torchaudio\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",
+            "speechbrain 0.5.16 requires huggingface-hub, which is not installed.\n",
+            "timm 1.0.24 requires huggingface_hub, which is not installed.\n",
+            "sentence-transformers 5.2.0 requires huggingface-hub>=0.20.0, which is not installed.\n",
+            "accelerate 1.12.0 requires huggingface_hub>=0.21.0, which is not installed.\n",
+            "peft 0.18.1 requires huggingface_hub>=0.25.0, which is not installed.\u001b[0m\u001b[31m\n",
+            "\u001b[0mSuccessfully installed torch-2.2.2+cu118 torchaudio-2.2.2+cu118 torchvision-0.17.2+cu118\n"
+          ]
+        },
+        {
+          "data": {
+            "application/vnd.colab-display-data+json": {
+              "id": "21b02a1d176d430d9189e7cf035c1788",
+              "pip_warning": {
+                "packages": [
+                  "torch",
+                  "torchaudio",
+                  "torchgen",
+                  "torchvision",
+                  "torio"
+                ]
+              }
+            }
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "!pip install torch==2.2.2+cu118 \\\n",
+        "             torchaudio==2.2.2+cu118 \\\n",
+        "             torchvision==0.17.2+cu118 \\\n",
+        "             -f https://download.pytorch.org/whl/torch_stable.html\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "vK8-VHppcIq9",
+        "outputId": "e28ccc0d-4137-4c85-9801-cb4d0854ebeb"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Requirement already satisfied: huggingface_hub==0.36.0 in /usr/local/lib/python3.12/dist-packages (0.36.0)\n",
+            "Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (3.20.3)\n",
+            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (2025.3.0)\n",
+            "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (25.0)\n",
+            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (6.0.3)\n",
+            "Requirement already satisfied: requests in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (2.32.4)\n",
+            "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (4.67.1)\n",
+            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (4.15.0)\n",
+            "Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (1.2.0)\n",
+            "Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface_hub==0.36.0) (3.4.4)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface_hub==0.36.0) (3.11)\n",
+            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface_hub==0.36.0) (2.5.0)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface_hub==0.36.0) (2026.1.4)\n"
+          ]
+        },
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "/usr/local/lib/python3.12/dist-packages/pyannote/audio/core/io.py:43: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.\n",
+            "  torchaudio.set_audio_backend(\"soundfile\")\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "3.1.1\n"
+          ]
+        }
+      ],
+      "source": [
+        "!pip install huggingface_hub==0.36.0\n",
+        "# The numpy installation and pyannote.audio import will be moved to the next consolidated installation cell (Ccx3BmVRAOnO)\n",
+        "# to ensure correct dependency resolution order.\n",
+        "import pyannote.audio\n",
+        "print(pyannote.audio.__version__)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "fjMMNwCbcPAt"
+      },
+      "outputs": [],
+      "source": []
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "ZlFdr2iN_52G",
+        "outputId": "70c42108-781f-4ef4-c9e3-1a82e18f9dbe"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Found existing installation: torch 2.2.2+cu118\n",
+            "Uninstalling torch-2.2.2+cu118:\n",
+            "  Successfully uninstalled torch-2.2.2+cu118\n",
+            "Found existing installation: torchvision 0.17.2+cu118\n",
+            "Uninstalling torchvision-0.17.2+cu118:\n",
+            "  Successfully uninstalled torchvision-0.17.2+cu118\n",
+            "Found existing installation: torchaudio 2.2.2+cu118\n",
+            "Uninstalling torchaudio-2.2.2+cu118:\n",
+            "  Successfully uninstalled torchaudio-2.2.2+cu118\n"
+          ]
+        }
+      ],
+      "source": [
+        "!pip uninstall -y torch torchvision torchaudio\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 654
+        },
+        "id": "3Hp9NDFX_-WR",
+        "outputId": "ee0421e2-2704-4c63-cbe1-b9f7b8771f84"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Looking in links: https://download.pytorch.org/whl/torch_stable.html\n",
+            "Collecting torch==2.2.2+cu118\n",
+            "  Using cached https://download.pytorch.org/whl/cu118/torch-2.2.2%2Bcu118-cp312-cp312-linux_x86_64.whl (819.1 MB)\n",
+            "Collecting torchvision==0.17.2+cu118\n",
+            "  Using cached https://download.pytorch.org/whl/cu118/torchvision-0.17.2%2Bcu118-cp312-cp312-linux_x86_64.whl (6.2 MB)\n",
+            "Collecting torchaudio==2.2.2+cu118\n",
+            "  Using cached https://download.pytorch.org/whl/cu118/torchaudio-2.2.2%2Bcu118-cp312-cp312-linux_x86_64.whl (3.3 MB)\n",
+            "Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (3.20.3)\n",
+            "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (4.15.0)\n",
+            "Requirement already satisfied: sympy in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (1.14.0)\n",
+            "Requirement already satisfied: networkx in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (3.6.1)\n",
+            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (3.1.6)\n",
+            "Requirement already satisfied: fsspec in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (2025.3.0)\n",
+            "Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.8.89 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.89)\n",
+            "Requirement already satisfied: nvidia-cuda-runtime-cu11==11.8.89 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.89)\n",
+            "Requirement already satisfied: nvidia-cuda-cupti-cu11==11.8.87 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.87)\n",
+            "Requirement already satisfied: nvidia-cudnn-cu11==8.7.0.84 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (8.7.0.84)\n",
+            "Requirement already satisfied: nvidia-cublas-cu11==11.11.3.6 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.11.3.6)\n",
+            "Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (10.9.0.58)\n",
+            "Requirement already satisfied: nvidia-curand-cu11==10.3.0.86 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (10.3.0.86)\n",
+            "Requirement already satisfied: nvidia-cusolver-cu11==11.4.1.48 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.4.1.48)\n",
+            "Requirement already satisfied: nvidia-cusparse-cu11==11.7.5.86 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.7.5.86)\n",
+            "Requirement already satisfied: nvidia-nccl-cu11==2.19.3 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (2.19.3)\n",
+            "Requirement already satisfied: nvidia-nvtx-cu11==11.8.86 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.86)\n",
+            "Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from torchvision==0.17.2+cu118) (1.26.4)\n",
+            "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.12/dist-packages (from torchvision==0.17.2+cu118) (11.3.0)\n",
+            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.12/dist-packages (from jinja2->torch==2.2.2+cu118) (3.0.3)\n",
+            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.12/dist-packages (from sympy->torch==2.2.2+cu118) (1.3.0)\n",
+            "Installing collected packages: torch, torchvision, torchaudio\n",
+            "Successfully installed torch-2.2.2+cu118 torchaudio-2.2.2+cu118 torchvision-0.17.2+cu118\n"
+          ]
+        },
+        {
+          "data": {
+            "application/vnd.colab-display-data+json": {
+              "id": "ba1a54ed581d4afa9240431f8f1cebaa",
+              "pip_warning": {
+                "packages": [
+                  "torch",
+                  "torchaudio",
+                  "torchgen",
+                  "torchvision",
+                  "torio"
+                ]
+              }
+            }
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "!pip install torch==2.2.2+cu118 torchvision==0.17.2+cu118 torchaudio==2.2.2+cu118 \\\n",
+        "  -f https://download.pytorch.org/whl/torch_stable.html\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "id": "Ccx3BmVRAOnO",
+        "outputId": "61ce97bd-2ae0-4bf4-9db0-fbd933b93292"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Requirement already satisfied: numpy==1.26.4 in /usr/local/lib/python3.12/dist-packages (1.26.4)\n",
+            "Collecting scipy==1.11.4\n",
+            "  Downloading scipy-1.11.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (60 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.4/60.4 kB\u001b[0m \u001b[31m3.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hCollecting scikit-learn==1.3.2\n",
+            "  Downloading scikit_learn-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\n",
+            "Requirement already satisfied: pytorch-lightning==2.1.3 in /usr/local/lib/python3.12/dist-packages (2.1.3)\n",
+            "Requirement already satisfied: einops==0.7.0 in /usr/local/lib/python3.12/dist-packages (0.7.0)\n",
+            "Requirement already satisfied: omegaconf==2.3.0 in /usr/local/lib/python3.12/dist-packages (2.3.0)\n",
+            "Collecting pyannote.core==5.0.0\n",
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+            "Collecting pyannote.database==5.1.3\n",
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+            "Downloading scipy-1.11.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (35.8 MB)\n",
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+            "\u001b[?25hInstalling collected packages: scipy, scikit-learn, pyannote.core, pyannote.database\n",
+            "  Attempting uninstall: scipy\n",
+            "    Found existing installation: scipy 1.17.0\n",
+            "    Uninstalling scipy-1.17.0:\n",
+            "      Successfully uninstalled scipy-1.17.0\n",
+            "  Attempting uninstall: scikit-learn\n",
+            "    Found existing installation: scikit-learn 1.8.0\n",
+            "    Uninstalling scikit-learn-1.8.0:\n",
+            "      Successfully uninstalled scikit-learn-1.8.0\n",
+            "  Attempting uninstall: pyannote.core\n",
+            "    Found existing installation: pyannote-core 6.0.1\n",
+            "    Uninstalling pyannote-core-6.0.1:\n",
+            "      Successfully uninstalled pyannote-core-6.0.1\n",
+            "  Attempting uninstall: pyannote.database\n",
+            "    Found existing installation: pyannote-database 6.1.1\n",
+            "    Uninstalling pyannote-database-6.1.1:\n",
+            "      Successfully uninstalled pyannote-database-6.1.1\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",
+            "mapclassify 2.10.0 requires scikit-learn>=1.4, but you have scikit-learn 1.3.2 which is incompatible.\n",
+            "mapclassify 2.10.0 requires scipy>=1.12, but you have scipy 1.11.4 which is incompatible.\n",
+            "tsfresh 0.21.1 requires scipy>=1.14.0; python_version >= \"3.10\", but you have scipy 1.11.4 which is incompatible.\n",
+            "pytensor 2.36.3 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.\n",
+            "spopt 0.7.0 requires scikit-learn>=1.4.0, but you have scikit-learn 1.3.2 which is incompatible.\n",
+            "spopt 0.7.0 requires scipy>=1.12.0, but you have scipy 1.11.4 which is incompatible.\n",
+            "cuml-cu12 25.10.0 requires scikit-learn>=1.4, but you have scikit-learn 1.3.2 which is incompatible.\n",
+            "shap 0.50.0 requires numpy>=2, but you have numpy 1.26.4 which is incompatible.\n",
+            "jax 0.7.2 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.\n",
+            "jax 0.7.2 requires scipy>=1.13, but you have scipy 1.11.4 which is incompatible.\n",
+            "libpysal 4.14.1 requires scikit-learn>=1.4.0, but you have scikit-learn 1.3.2 which is incompatible.\n",
+            "libpysal 4.14.1 requires scipy>=1.12.0, but you have scipy 1.11.4 which is incompatible.\n",
+            "imbalanced-learn 0.14.1 requires scikit-learn<2,>=1.4.2, but you have scikit-learn 1.3.2 which is incompatible.\n",
+            "access 1.1.10.post3 requires scipy>=1.14.1, but you have scipy 1.11.4 which is incompatible.\n",
+            "tobler 0.13.0 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.\n",
+            "tobler 0.13.0 requires scipy>=1.13, but you have scipy 1.11.4 which is incompatible.\n",
+            "hdbscan 0.8.41 requires scikit-learn>=1.6, but you have scikit-learn 1.3.2 which is incompatible.\n",
+            "esda 2.8.1 requires scikit-learn>=1.4, but you have scikit-learn 1.3.2 which is incompatible.\n",
+            "esda 2.8.1 requires scipy>=1.12, but you have scipy 1.11.4 which is incompatible.\n",
+            "inequality 1.1.2 requires scipy>=1.12, but you have scipy 1.11.4 which is incompatible.\n",
+            "umap-learn 0.5.11 requires scikit-learn>=1.6, but you have scikit-learn 1.3.2 which is incompatible.\n",
+            "giddy 2.3.8 requires scipy>=1.12, but you have scipy 1.11.4 which is incompatible.\n",
+            "jaxlib 0.7.2 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.\n",
+            "jaxlib 0.7.2 requires scipy>=1.13, but you have scipy 1.11.4 which is incompatible.\u001b[0m\u001b[31m\n",
+            "\u001b[0mSuccessfully installed pyannote.core-5.0.0 pyannote.database-5.1.3 scikit-learn-1.3.2 scipy-1.11.4\n"
+          ]
+        },
+        {
+          "data": {
+            "application/vnd.colab-display-data+json": {
+              "id": "579b7238000242d6985dfb6719b84541",
+              "pip_warning": {
+                "packages": [
+                  "pyannote",
+                  "scipy",
+                  "sklearn"
+                ]
+              }
+            }
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "!pip install numpy==1.26.4 \\\n",
+        "             scipy==1.11.4 \\\n",
+        "             scikit-learn==1.3.2 \\\n",
+        "             pytorch-lightning==2.1.3 \\\n",
+        "             einops==0.7.0 \\\n",
+        "             omegaconf==2.3.0 \\\n",
+        "             pyannote.core==5.0.0 \\\n",
+        "             pyannote.database==5.1.3 \\\n",
+        "             pyannote.audio==3.1.1 \\\n",
+        "             speechbrain==0.5.16 \\\n",
+        "             librosa==0.10.1 \\\n",
+        "             soundfile==0.12.1"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "4Ta9VRgYAbXB",
+        "outputId": "0123cb4d-89f6-46de-da90-6abd7757ec13"
+      },
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "/usr/local/lib/python3.12/dist-packages/pyannote/audio/core/io.py:43: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.\n",
+            "  torchaudio.set_audio_backend(\"soundfile\")\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "torch: 2.2.2+cu118\n",
+            "torchvision: 0.17.2+cu118\n",
+            "torchaudio: 2.2.2+cu118\n",
+            "numpy: 1.26.4\n",
+            "pyannote: 3.1.1\n"
+          ]
+        }
+      ],
+      "source": [
+        "import torch, torchaudio, torchvision, numpy, pyannote.audio\n",
+        "\n",
+        "print(\"torch:\", torch.__version__)\n",
+        "print(\"torchvision:\", torchvision.__version__)\n",
+        "print(\"torchaudio:\", torchaudio.__version__)\n",
+        "print(\"numpy:\", numpy.__version__)\n",
+        "print(\"pyannote:\", pyannote.audio.__version__)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 17,
+          "referenced_widgets": [
+            "00344751ccd045daaf82c9312ca4de43",
+            "8fccae8f7c6446beacf798e3d0e8759c"
+          ]
+        },
+        "id": "lDqn9OMMA6T9",
+        "outputId": "771f66e2-8242-4248-cd97-c652f9aba6f8"
+      },
+      "outputs": [
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "00344751ccd045daaf82c9312ca4de43",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "from huggingface_hub import login\n",
+        "login()\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "b8MHpCbNBJNO",
+        "outputId": "4bb980b3-d5f6-4066-faa5-be097d5279dd"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "aisvi.wav  sample_data\n"
+          ]
+        }
+      ],
+      "source": [
+        "!ls"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 423,
+          "referenced_widgets": [
+            "0a431cfc1c1546d79719773d64d59fb5",
+            "6a405b73884c4259ac29f6174871e39e",
+            "45e30f74ee6b4f97a5ea47d827810c99",
+            "c525df3a8d8b46dc943d22e3a940f665",
+            "f0dce3b2fdd14f1da7e45cd08fe6dfb1",
+            "4fdc102df762449baa363b80e77dc2c3",
+            "31a8b3cdf3d5406093ed6568b3b85ceb",
+            "77b0706fe5c746808d96268899ab500d",
+            "d346967855334cba8cf0ad7f3272a1ae",
+            "2f35af6d2bc743a68baaeffd4746e151",
+            "1f64c2946e324b8c9793b815bb617cf6",
+            "ba247826b5fb4043843dbe549db4fe29",
+            "f15ad40921b547c0baba19a37a2691dc",
+            "25aba725882a4dcf8234a9960ab64e16",
+            "da245a282bdc47bb9eb28017c93fbf5c",
+            "c7d5402d497041aba649b86b00c05813",
+            "48ea1523a1d046749a624ccee83086a5",
+            "0134921d3d774359a22a978cdf95a2e9",
+            "ff6d5311b8dd4919baa531c549c89ca0",
+            "c51b39ac979042e8be8458d0b5aaa65a",
+            "c3e0550c108146048b6490aae770a98c",
+            "8963d04d3ec1444fad5dc489988dddd1",
+            "8b039b12f07c4710b060642a094795d8",
+            "722514f2da664eff9ddc538d7847f104",
+            "99eca1c9f7bf47d6ba87320a479256e0",
+            "3d111077a4c849b29aff96a30ca2586a",
+            "b840d38d16a1421f8f3cabc8abf5641a",
+            "8f246f689aa648b5b0962c69a910da1d",
+            "a66ac6704df64e1b8e0267ae6bc588e9",
+            "53b31de73a0d428db576404ffc8a6cdf",
+            "ea46cbdfc59d491794fae89aa19d6eb6",
+            "1fb372aa643841eab9358a4c87293df6",
+            "23215d67d2754c1eb14ee22e6c3353c0",
+            "4e4c423bd32344cfa0e237176fb4a348",
+            "9f101782cfa34d94b6cb526615623f1c",
+            "ffa2cdae1a8142b59c219fe7dd029c39",
+            "e6e3ace83c8c45589db0f58e57de3fea",
+            "2ac321742a2a45e9b4df581103871e31",
+            "942f7c8a31634d86a1771fd58568eba8",
+            "520fde0115f34605bd093da6065e1381",
+            "3a3180eb0c71495eb181ac7883bf03fc",
+            "ab3cb326a8ef4859b0810b4713544c45",
+            "eb81f24db8154d62949ad3bbe020c7f6",
+            "f51cbf77e5bf431cb8bab8412afdefe9",
+            "abb96fa5691f44d78be1946e4e112ff1",
+            "fc4c9071d541446782f5782f1ad88e2b",
+            "0a873cf5e5034fef8173e40624959d8c",
+            "9e09343cc40f4962a6a2bbc8afb9d1da",
+            "bf2df1e72fb34fe2be4ed239242d19d3",
+            "3a862ab392dd4b1aa8cebde647cb0488",
+            "725695c3bcc54162a3495bd98dc0b8c9",
+            "97efe3948d9a4e57a068402674d92f1b",
+            "778dcce74c044a07834b5e3f4b75bb5c",
+            "dc2392d8b0264de5b82c0956402b0491",
+            "246aa25575064c7cb3b1c7d24e8ecf3e"
+          ]
+        },
+        "id": "4Tx7itKiB_QF",
+        "outputId": "c148695d-a7cd-4aff-83e1-d0fcd8e77151"
+      },
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n",
+            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
+            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
+            "You will be able to reuse this secret in all of your notebooks.\n",
+            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
+            "  warnings.warn(\n"
+          ]
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "0a431cfc1c1546d79719773d64d59fb5",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "config.yaml:   0%|          | 0.00/469 [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "/usr/local/lib/python3.12/dist-packages/pyannote/audio/pipelines/speaker_verification.py:43: UserWarning: torchaudio._backend.get_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.\n",
+            "  backend = torchaudio.get_audio_backend()\n",
+            "/usr/local/lib/python3.12/dist-packages/pyannote/audio/pipelines/speaker_verification.py:53: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.\n",
+            "  torchaudio.set_audio_backend(backend)\n",
+            "/usr/local/lib/python3.12/dist-packages/pyannote/audio/tasks/segmentation/mixins.py:37: UserWarning: `torchaudio.backend.common.AudioMetaData` has been moved to `torchaudio.AudioMetaData`. Please update the import path.\n",
+            "  from torchaudio.backend.common import AudioMetaData\n"
+          ]
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "ba247826b5fb4043843dbe549db4fe29",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "pytorch_model.bin:   0%|          | 0.00/5.91M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "8b039b12f07c4710b060642a094795d8",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "config.yaml:   0%|          | 0.00/399 [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "4e4c423bd32344cfa0e237176fb4a348",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "pytorch_model.bin:   0%|          | 0.00/26.6M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "abb96fa5691f44d78be1946e4e112ff1",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "config.yaml:   0%|          | 0.00/221 [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Pipeline loaded successfully ✅\n"
+          ]
+        }
+      ],
+      "source": [
+        "from pyannote.audio import Pipeline\n",
+        "\n",
+        "pipeline = Pipeline.from_pretrained(\n",
+        "    \"pyannote/speaker-diarization-3.1\"\n",
+        ")\n",
+        "\n",
+        "print(\"Pipeline loaded successfully ✅\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "background_save": true,
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Rnkl-bIYCn5o",
+        "outputId": "aab7040d-140d-4557-a162-bed4d157e8bf"
+      },
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "/usr/local/lib/python3.12/dist-packages/pyannote/audio/models/blocks/pooling.py:104: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+            "  std = sequences.std(dim=-1, correction=1)\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "SPEAKER_05: 0.01s --> 15.63s\n",
+            "SPEAKER_00: 14.68s --> 15.00s\n",
+            "SPEAKER_05: 15.65s --> 16.04s\n",
+            "SPEAKER_00: 20.91s --> 21.23s\n",
+            "SPEAKER_05: 21.23s --> 31.35s\n",
+            "SPEAKER_04: 31.35s --> 35.17s\n",
+            "SPEAKER_05: 35.46s --> 39.28s\n",
+            "SPEAKER_06: 39.53s --> 40.72s\n",
+            "SPEAKER_05: 41.11s --> 59.23s\n",
+            "SPEAKER_06: 41.76s --> 41.99s\n",
+            "SPEAKER_06: 59.23s --> 60.79s\n",
+            "SPEAKER_06: 61.26s --> 62.06s\n",
+            "SPEAKER_06: 62.33s --> 65.14s\n",
+            "SPEAKER_06: 66.19s --> 67.21s\n",
+            "SPEAKER_06: 67.36s --> 69.01s\n",
+            "SPEAKER_05: 70.03s --> 74.00s\n",
+            "SPEAKER_04: 74.00s --> 74.22s\n",
+            "SPEAKER_05: 74.22s --> 74.24s\n",
+            "SPEAKER_04: 76.19s --> 77.02s\n",
+            "SPEAKER_04: 77.92s --> 79.65s\n",
+            "SPEAKER_04: 80.30s --> 81.47s\n",
+            "SPEAKER_04: 81.72s --> 85.14s\n",
+            "SPEAKER_07: 85.39s --> 86.63s\n",
+            "SPEAKER_07: 86.85s --> 89.99s\n",
+            "SPEAKER_07: 91.20s --> 93.44s\n",
+            "SPEAKER_05: 93.98s --> 102.30s\n",
+            "SPEAKER_03: 102.56s --> 109.01s\n",
+            "SPEAKER_05: 109.01s --> 114.95s\n",
+            "SPEAKER_01: 115.14s --> 129.31s\n",
+            "SPEAKER_05: 129.45s --> 138.02s\n",
+            "SPEAKER_05: 138.51s --> 149.70s\n",
+            "SPEAKER_05: 150.30s --> 166.15s\n",
+            "SPEAKER_00: 166.15s --> 171.15s\n",
+            "SPEAKER_00: 171.25s --> 173.83s\n",
+            "SPEAKER_05: 173.88s --> 185.05s\n",
+            "SPEAKER_05: 185.70s --> 200.70s\n",
+            "SPEAKER_05: 201.55s --> 221.16s\n",
+            "SPEAKER_02: 221.23s --> 248.84s\n",
+            "SPEAKER_05: 249.57s --> 259.63s\n",
+            "SPEAKER_02: 259.63s --> 329.43s\n",
+            "SPEAKER_05: 329.53s --> 336.48s\n",
+            "SPEAKER_02: 336.48s --> 386.54s\n",
+            "SPEAKER_02: 386.78s --> 395.73s\n",
+            "SPEAKER_05: 395.73s --> 408.41s\n",
+            "SPEAKER_02: 408.45s --> 464.92s\n",
+            "SPEAKER_05: 465.41s --> 468.45s\n",
+            "SPEAKER_02: 468.45s --> 468.82s\n"
+          ]
+        }
+      ],
+      "source": [
+        "diarization = pipeline(\"/content/aisvi.wav\")\n",
+        "\n",
+        "for turn, _, speaker in diarization.itertracks(yield_label=True):\n",
+        "    print(f\"{speaker}: {turn.start:.2f}s --> {turn.end:.2f}s\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "4MHy2ZY-abew"
+      },
+      "outputs": [],
+      "source": []
+    }
+  ],
+  "metadata": {
+    "accelerator": "GPU",
+    "colab": {
+      "gpuType": "T4",
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python"
+    },
+    "widgets": {
+      "application/vnd.jupyter.widget-state+json": {
+        "00344751ccd045daaf82c9312ca4de43": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "VBoxModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "VBoxModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "VBoxView",
+            "box_style": "",
+            "children": [],
+            "layout": "IPY_MODEL_8fccae8f7c6446beacf798e3d0e8759c"
+          }
+        },
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