Update installation instructions in demo

COLIPRI_demo.ipynb

@@ -21,7 +21,7 @@
         "## Installation\n",
         "\n",
         "The [`colipri` package](https://pypi.org/project/colipri/) is available on PyPI.\n",
-        "Here, we use the `demo` extra to install the required dependencies for running this demo."
+        "Here, we use the `demo` extra to install a few libraries used in this usage demo."
       ]
     },
     {
@@ -29,7 +29,7 @@
       "execution_count": 1,
       "metadata": {
         "id": "yEM-bYQxwIFD",
-        "outputId": "a915a3f2-f1e9-4a83-ba35-4da4e87afcf3",
+        "outputId": "cccac4d0-63f1-4c4f-f5ae-ce457e59a19f",
         "colab": {
           "base_uri": "https://localhost:8080/"
         }
@@ -39,33 +39,22 @@
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Cloning into 'colipri'...\n",
-            "remote: Enumerating objects: 87, done.\u001b[K\n",
-            "remote: Counting objects: 100% (83/83), done.\u001b[K\n",
-            "remote: Compressing objects: 100% (71/71), done.\u001b[K\n",
-            "remote: Total 87 (delta 19), reused 0 (delta 0), pack-reused 4 (from 1)\u001b[K\n",
-            "Unpacking objects: 100% (87/87), 187.42 KiB | 2.76 MiB/s, done.\n",
             "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
             "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
             "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
-            "\u001b[33m  WARNING: Did not find branch or tag '88ad3c9', assuming revision or ref.\u001b[0m\u001b[33m\n",
-            "\u001b[0m  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m63.1/63.1 kB\u001b[0m \u001b[31m5.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m53.3/53.3 kB\u001b[0m \u001b[31m5.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.5/2.5 MB\u001b[0m \u001b[31m104.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m194.3/194.3 kB\u001b[0m \u001b[31m2.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m154.5/154.5 kB\u001b[0m \u001b[31m2.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m55.8/55.8 kB\u001b[0m \u001b[31m5.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m52.6/52.6 MB\u001b[0m \u001b[31m8.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[?25h  Building wheel for colipri (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
-            "  Building wheel for dynamic-network-architectures (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m63.1/63.1 kB\u001b[0m \u001b[31m1.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m53.3/53.3 kB\u001b[0m \u001b[31m5.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.5/2.5 MB\u001b[0m \u001b[31m66.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m194.3/194.3 kB\u001b[0m \u001b[31m21.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m154.5/154.5 kB\u001b[0m \u001b[31m17.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.1/56.1 kB\u001b[0m \u001b[31m6.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m52.6/52.6 MB\u001b[0m \u001b[31m12.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25h  Building wheel for dynamic-network-architectures (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"
           ]
         }
       ],
       "source": [
-        "# Temporary setup commands\n",
-        "!git clone https://huggingface.co/microsoft/colipri\n",
-        "%pip install --quiet ./colipri[demo]"
+        "%pip install --quiet colipri[demo]"
       ]
     },
     {
@@ -104,7 +93,7 @@
       "execution_count": 3,
       "metadata": {
         "id": "b3WzYwmJ2AvF",
-        "outputId": "5906d7de-b200-46ac-81a5-42835a956414",
+        "outputId": "e649fbe8-abd6-49bf-cfd9-d9b068eeb7c7",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 65
@@ -115,10 +104,10 @@
           "output_type": "display_data",
           "data": {
             "text/plain": [
-              "Last run on Wed Jan \u001b[1;36m21\u001b[0m \u001b[1;92m20:29:10\u001b[0m \u001b[1;36m2026\u001b[0m\n"
+              "Last run on Sun Jan \u001b[1;36m25\u001b[0m \u001b[1;92m21:14:01\u001b[0m \u001b[1;36m2026\u001b[0m\n"
             ],
             "text/html": [
-              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Last run on Wed Jan <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">21</span> <span style=\"color: #00ff00; text-decoration-color: #00ff00; font-weight: bold\">20:29:10</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2026</span>\n",
+              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Last run on Sun Jan <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">25</span> <span style=\"color: #00ff00; text-decoration-color: #00ff00; font-weight: bold\">21:14:01</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2026</span>\n",
               "</pre>\n"
             ]
           },
@@ -186,10 +175,10 @@
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 474
+          "height": 444
         },
         "id": "1859KPqK4Ib-",
-        "outputId": "09eab3ec-d287-4039-e223-695f861dd657"
+        "outputId": "08b514ac-66fa-4a4f-a7cb-c87d2c530d6f"
       },
       "outputs": [
         {
@@ -203,7 +192,7 @@
           "output_type": "stream",
           "name": "stderr",
           "text": [
-            "42196992it [00:01, 25111479.36it/s]                              \n"
+            "42196992it [00:02, 19658467.63it/s]                              \n"
           ]
         },
         {
@@ -270,56 +259,56 @@
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 492,
+          "height": 564,
           "referenced_widgets": [
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         "id": "ygUBs2nubRm-",
-        "outputId": "67292305-cef8-4a56-d599-5022bc2a2389"
+        "outputId": "f8f979fc-f913-4ad6-b71a-ad97d87990a4"
       },
       "outputs": [
         {
@@ -343,7 +332,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "f65ed85dac044f7589f8700fb4f8bfdd"
+              "model_id": "3367795908634fc0914fe42d9eef970d"
             }
           },
           "metadata": {}
@@ -357,7 +346,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "6b13639a29c54e1cb27ba3ebceffb2ed"
+              "model_id": "ca9eb82d6611462cadf79fe39bc73d4e"
             }
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           "metadata": {}
@@ -371,7 +360,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "0b66a631064a406a8a774d21d3afd6ee"
+              "model_id": "d32cebd07fc34d4cb51210d88192ae8b"
             }
           },
           "metadata": {}
@@ -385,7 +374,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "3006fc1d231b4ca3876d57c7f15e2311"
+              "model_id": "905d1f89575846e69b5258d470a1b1a0"
             }
           },
           "metadata": {}
@@ -445,54 +434,54 @@
           "base_uri": "https://localhost:8080/",
           "height": 562,
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