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            "Cloning into 'mixture-of-agents'...\n",
            "remote: Enumerating objects: 13, done.\u001b[K\n",
            "remote: Counting objects: 100% (9/9), done.\u001b[K\n",
            "remote: Compressing objects: 100% (9/9), done.\u001b[K\n",
            "remote: Total 13 (delta 2), reused 0 (delta 0), pack-reused 4 (from 1)\u001b[K\n",
            "Unpacking objects: 100% (13/13), 6.85 KiB | 1.71 MiB/s, done.\n"
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    },
    {
      "cell_type": "code",
      "source": [
        "# Clone the GitHub repository containing the folder\n",
        "!git clone https://github.com/kram254/Mixture-of-Agents-running-on-Groq.git"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "prdXMc4d04nr",
        "outputId": "f3766bdf-8e72-4f9c-ae21-7ff445285b18"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'Mixture-of-Agents-running-on-Groq'...\n",
            "remote: Enumerating objects: 27, done.\u001b[K\n",
            "remote: Counting objects: 100% (27/27), done.\u001b[K\n",
            "remote: Compressing objects: 100% (21/21), done.\u001b[K\n",
            "remote: Total 27 (delta 3), reused 27 (delta 3), pack-reused 0 (from 0)\u001b[K\n",
            "Receiving objects: 100% (27/27), 50.45 KiB | 2.29 MiB/s, done.\n",
            "Resolving deltas: 100% (3/3), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# List the files in the researcher_swarm folder to verify\n",
        "!ls Mixture-of-Agents-running-on-Groq"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1vyD348f1WmP",
        "outputId": "4da0d5a8-b554-4501-d182-55288bee9550"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "app.py\tDockerfile  LICENSE  moa  README.md  requirements.txt  static\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Copy only the app folder or the required content to the Hugging Face Space repository\n",
        "# Update <correct_folder_name> if app is named differently or copy all contents\n",
        "!cp -r Mixture-of-Agents-running-on-Groq/moa /content/mixture-of-agents/ || \\\n",
        "cp -r Mixture-of-Agents-running-on-Groq/* /content/mixture-of-agents/"
      ],
      "metadata": {
        "id": "3gE6umBh1Z7K"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Navigate back to the Hugging Face Space repository\n",
        "%cd /content/mixture-of-agents"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EQ7baHG91dIS",
        "outputId": "6ef3de20-9410-43ea-86d2-a4e1a6f75181"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/mixture-of-agents\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Initialize a Git repository if not already initialized\n",
        "!git init"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8HeZbVwV1gE7",
        "outputId": "0c62351c-1456-4555-b2ba-1b28c7ca8ad4"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reinitialized existing Git repository in /content/mixture-of-agents/.git/\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Stage the copied files\n",
        "!git add ."
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_NkV5AuJ1jVB",
        "outputId": "55803efe-3cfd-4abe-d610-178110cb99ca"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "warning: adding embedded git repository: Mixture-of-Agents-running-on-Groq\n",
            "\u001b[33mhint: You've added another git repository inside your current repository.\u001b[m\n",
            "\u001b[33mhint: Clones of the outer repository will not contain the contents of\u001b[m\n",
            "\u001b[33mhint: the embedded repository and will not know how to obtain it.\u001b[m\n",
            "\u001b[33mhint: If you meant to add a submodule, use:\u001b[m\n",
            "\u001b[33mhint: \u001b[m\n",
            "\u001b[33mhint: \tgit submodule add <url> Mixture-of-Agents-running-on-Groq\u001b[m\n",
            "\u001b[33mhint: \u001b[m\n",
            "\u001b[33mhint: If you added this path by mistake, you can remove it from the\u001b[m\n",
            "\u001b[33mhint: index with:\u001b[m\n",
            "\u001b[33mhint: \u001b[m\n",
            "\u001b[33mhint: \tgit rm --cached Mixture-of-Agents-running-on-Groq\u001b[m\n",
            "\u001b[33mhint: \u001b[m\n",
            "\u001b[33mhint: See \"git help submodule\" for more information.\u001b[m\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Configure Git user credentials\n",
        "!git config --global user.email \"driknowsnothing\"\n",
        "!git config --global user.name \"ohyeah\""
      ],
      "metadata": {
        "id": "sNr1KhP01mBs"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Commit the changes\n",
        "!git commit -m \"Added moa folder\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YLBon80r1sdc",
        "outputId": "0eec0c18-69bc-4558-f6d7-1837fe03f39b"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[main dda2773] Added moa folder\n",
            " 6 files changed, 218 insertions(+)\n",
            " create mode 160000 Mixture-of-Agents-running-on-Groq\n",
            " create mode 100644 moa/__init__.py\n",
            " create mode 100644 moa/agent/__init__.py\n",
            " create mode 100644 moa/agent/moa.py\n",
            " create mode 100644 moa/agent/prompts.py\n",
            " create mode 100644 moa/main.py\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Authenticate with Hugging Face\n",
        "from huggingface_hub import notebook_login\n",
        "notebook_login()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17,
          "referenced_widgets": [
            "84f16d8549b1477187c4dcc6bec392ef",
            "9420b044d01044de8c12d70e403d537a",
            "dd73836f6cf84435a5e86a669c0ea6f2",
            "900b518bb55e451f906f994da1443e61",
            "57d294398311407cbf0e5c3b17574441",
            "56d271f8611a4ae6a96aa114c3c4edfa",
            "bb2fa6f8ba434944aefd2c28d55ca40d",
            "e00b0987dc5847f692af9a1d46e643b8",
            "1f2bbf6e47a545b88dd035c73cb5871f",
            "6a2cdd94a54e485c841e4bf3f146d726",
            "548af9ebb28849938413e0e3eade5f85",
            "b4ddb91ffd904705bb0ce20141b79a55",
            "f5c3d502cc5a415691cf18b35afb8c6b",
            "ac023571d5a247199b6ade2e196bc478",
            "fc6b8b72f5634f83ad06cdff642d8884",
            "19c3106efa494592a64adf126ed29bd5",
            "e9e6622d55654e6897f99deb3ea97894",
            "86469dc9818246cd99f6bf5288e20d69",
            "77e257e866cd4c689b5d9d090aa519fb",
            "09776533b89640d3a3e75a12f6671277"
          ]
        },
        "id": "3ed4SoHs1yRv",
        "outputId": "8d20cdef-6611-4b7b-b410-89ac8230cb57"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co./front/assets/huggingface_logo-noborder.sv…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "84f16d8549b1477187c4dcc6bec392ef"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Push the changes to the Hugging Face Space repository\n",
        "!git push"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ri9u_IDj0yz7",
        "outputId": "ce06d10d-ab9b-4439-ccce-2f665a55ce3f"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Enumerating objects: 10, done.\n",
            "Counting objects:  10% (1/10)\rCounting objects:  20% (2/10)\rCounting objects:  30% (3/10)\rCounting objects:  40% (4/10)\rCounting objects:  50% (5/10)\rCounting objects:  60% (6/10)\rCounting objects:  70% (7/10)\rCounting objects:  80% (8/10)\rCounting objects:  90% (9/10)\rCounting objects: 100% (10/10)\rCounting objects: 100% (10/10), done.\n",
            "Delta compression using up to 2 threads\n",
            "Compressing objects:  14% (1/7)\rCompressing objects:  28% (2/7)\rCompressing objects:  42% (3/7)\rCompressing objects:  57% (4/7)\rCompressing objects:  71% (5/7)\rCompressing objects:  85% (6/7)\rCompressing objects: 100% (7/7)\rCompressing objects: 100% (7/7), done.\n",
            "Writing objects:  11% (1/9)\rWriting objects:  22% (2/9)\rWriting objects:  33% (3/9)\rWriting objects:  44% (4/9)\rWriting objects:  55% (5/9)\rWriting objects:  66% (6/9)\rWriting objects:  77% (7/9)\rWriting objects:  88% (8/9)\rWriting objects: 100% (9/9)\rWriting objects: 100% (9/9), 3.13 KiB | 1.57 MiB/s, done.\n",
            "Total 9 (delta 0), reused 0 (delta 0), pack-reused 0\n",
            "To https://huggingface.co./spaces/DrishtiSharma/mixture-of-agents\n",
            "   95df285..dda2773  main -> main\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "x3V_LbGE16MM"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}