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\"Toksyczna społeczność na czacie.\",\n", " \"Spadki klatek na sekundę.\",\n", " \"Hitboxy są całkowicie zepsute.\"\n", " ]\n", "}" ] }, { "cell_type": "code", "source": [ "!pip install sentence-transformers matplotlib\n", "!pip install --upgrade gradio" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Dso2YvcwZNCn", "outputId": "89ac9109-4221-48b8-dd3f-788c9b6f8a9e" }, "execution_count": 2, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Requirement already satisfied: sentence-transformers in /usr/local/lib/python3.12/dist-packages (5.5.1)\n", "Requirement already satisfied: matplotlib in /usr/local/lib/python3.12/dist-packages (3.10.0)\n", "Requirement already satisfied: transformers<6.0.0,>=4.41.0 in /usr/local/lib/python3.12/dist-packages (from sentence-transformers) (5.9.0)\n", "Requirement already satisfied: huggingface-hub>=0.23.0 in /usr/local/lib/python3.12/dist-packages (from sentence-transformers) (1.17.0)\n", "Requirement 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\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m73.3/73.3 kB\u001b[0m \u001b[31m7.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hInstalling collected packages: starlette, gradio-client, hf-gradio, gradio\n", " Attempting uninstall: starlette\n", " Found existing installation: starlette 0.52.1\n", " Uninstalling starlette-0.52.1:\n", " Successfully uninstalled starlette-0.52.1\n", " Attempting uninstall: gradio-client\n", " Found existing installation: gradio_client 1.14.0\n", " Uninstalling gradio_client-1.14.0:\n", " Successfully uninstalled gradio_client-1.14.0\n", " Attempting uninstall: gradio\n", " Found existing installation: gradio 5.50.0\n", " Uninstalling gradio-5.50.0:\n", " Successfully uninstalled gradio-5.50.0\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", "google-adk 1.29.0 requires starlette<1.0.0,>=0.49.1, but you have starlette 1.2.1 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed gradio-6.16.0 gradio-client-2.5.0 hf-gradio-0.4.1 starlette-1.2.1\n" ] } ] }, { "cell_type": "code", "source": [ "from sentence_transformers import SentenceTransformer\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from sklearn.metrics.pairwise import cosine_similarity\n", "import gradio as gr\n", "\n", "model = SentenceTransformer(\"sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 528, "referenced_widgets": [ "77b6cd297e7741938a2b70c7b8b3a0b5", "9d6288b14e544da88d2f32dd8a1bf5c1", "ba03d49cabf94123b1530690e4550f46", "1d521e70575240029a1adfc1627e8e5d", "07c2230136e4418e987d02657bc2acf7", "aa35cd2ad30f485b94728f1715f2f8d3", 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"b05a4f3ef7084037bbd7c7b7fc9002cf", "7233122a426642d5a3fc1b74929f2291", "a3ddf58ad2b045e283443a6fbfd59184", "671186895c114c2d86eda556e19d2012", "a05671548d454d70a20cb9be3bf7b466", "65c00169ae74474189d334a4fd05e59c", "d873ea796afb45a49a3449df88cb257f" ] }, "id": "JtN9PELyZN0V", "outputId": "ac1fda21-7403-4c21-b760-a1f2363fdc82" }, "execution_count": 3, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:112: 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" ] }, { "output_type": 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