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"source": [ "sentiment =pipeline(\"sentiment-analysis\", verbose = 0)" ], "metadata": { "id": "lSV1TVIW_tcn", "colab": { "base_uri": "https://localhost:8080/", "height": 234, "referenced_widgets": [ "abeff9dc8d97429e8b712617c9c0d379", "358f22fb7bf3492faf8ea255b0f1cad5", "8863451c3ff34a8c856931f5ce0e004c", "a33961f879fe4133ac4e785858433fc5", "d1eaf715b0864652b1f1db98d24aa53c", "97e383ed6e52424a811ea4d3ae3cd5b1", "6580aa9ea71a4de089491c7042eb60eb", "59c5d01068764633b395467ce2b4bd03", "628d35e0905045f591f7642f97ae0c12", "88f21a776fdb4c429c484e10343dbc3f", "d802f42cf68443299306412ad0b8adc1", "780cf6ec5580477ebff3907bf176b1ea", "c1a8ec65991e4ec7a3e4059e7b9fc64e", "1a2dc7823b3e42bda94cffe81610e30e", "c77b36035dd240d1a9c28490bbd973d7", "2ff8e321a70143599c808cd1e67b47c5", "fabec62c1bf54c539e8b8059fa909d64", "e1ff360706b04aa98f1e6a87e0d9a008", "1f0f020ee35f427cac4333370d841a44", "6f229c25e69d480783b72483f4bf674a", "96759a46d88b440d99bee92c01893ae5", "ab26de741e8f4db481e0a145b5c0e43d", "ebdeaa959e4947aca508deb5c080afe5", "eb14c4dccf0a42d0b5dca5576c4470fe", "f76ac311d43d4c0692d76aa7a955f44a", "b332025cf46f4753b110f062bf7b379e", "04eafbb4984f45b6bcd6efc1b37df1d7", "30f2f5c79f524d39b27413b57462cb87", "ec7d51853a8e4855a59ade42c5af1934", "7f2d6063960542e697ca764cdecab7fc", "b255b9e906e44e9b89cd3a7b06dcecf8", "e4cfdbfa8b20467a8a6d4643ceea978d", "51635c70c5c347d6b3a9dd9e4f94a43d", "3c3b3d2ab7e44dfdba81b3aa844d0ab2", "55281fa7e71c4e77bacb57dc55ff8e7a", "dc3907421c8740a5807328237b204d4f", "01093d22192844d59324ed9514d0c4f9", "a924aca6299e40a1a87102d086361f3e", "b90965dd501e4cbdabc2665389e08fb9", "f56f053f19c1457ab440c164569203a6", "4c87b25594d7482ba1d1589a2b0dfe9f", "92449e96393a4b49b821bb800a74f97a", "fca8fd35fe7e4af586e206e31ae645f7", "15ca078fc44a46ae90963fab4ebbc651" ] }, "outputId": "46ea62a5-c5cd-4176-c8d6-2dd7d869d447" }, "execution_count": 3, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "No model was supplied, defaulted to distilbert/distilbert-base-uncased-finetuned-sst-2-english and revision af0f99b (https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english).\n", "Using a pipeline without specifying a model name and revision in production is not recommended.\n", "/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n", " warnings.warn(\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "config.json: 0%| | 0.00/629 [00:00" ], "text/html": [ "
" ] }, "metadata": {} }, { "output_type": "execute_result", "data": { "text/plain": [] }, "metadata": {}, "execution_count": 8 } ] }, { "cell_type": "markdown", "source": [ "## Arabic sentiment analysis" ], "metadata": { "id": "vEgitC07tYed" } }, { "cell_type": "code", "source": [ "\n", "\n", "sa = pipeline('text-classification', model='CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment')\n", "\n", "def sentiment(prompt):\n", " result = sa(prompt)\n", " return result\n", "\n", "def get_sentiment(prompt):\n", " result = sentiment(prompt)\n", " label = result[0]['label']\n", " score = result[0]['score']\n", " return label, score\n", "\n", "textbox = gr.Textbox(label=\"قم بادخال الرأي:\")\n", "textbox_sen = gr.Textbox(label=\"الشعور\")\n", "textbox_score = gr.Textbox(label=\"النسبة\")\n", "\n", "interface = gr.Interface(\n", " fn=get_sentiment,\n", " inputs=textbox,\n", " outputs=[textbox_sen, textbox_score],\n", " title=\"النموذج الأولي لتحليل المشاعر\"\n", ")\n", "\n", "interface.launch()\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 805, "referenced_widgets": [ "ae7d30fef86140a0a53e846c473f02a7", "ee8bdcbe24df4bb1a9129e500edc7142", "ed0852576d2c426b812ebbfe654f274a", "f587c35f8a5140788e6160dba1575bb9", "070132c0ca554dce891cbcebd32709e3", "99276450113145b28342485937f7c219", "2b84ddd5f11745638d9654a01acb7d4b", "7dac6b9f574543da9f236fc9e1671a26", "9bfa74225b3c48fcbe89a6ace40fc715", "54363125249d4d57968825f18be69eb1", "5ad3cbbe163f4d2387276b0eb80d6755", "be7f7ce5d7884c2d9d2dd2856ad44666", "b85f32a6140346a1a0a1f30286f9fa38", "b3418399baa74d03beee9d1d0b2f2812", "d546f288d4e8446fb1dd4d649b634b99", "2e6933c24eac4a61abe7548dd9071dbc", "e7963b34feb14c69ae84b92e337b2e2a", "e8de864b718d45f6863c9f701e9a6e89", "7e81266f15ce419c901f3df54e845be3", "1d6655240f744221bc25153e2e5eaced", "8c307a00bc314553b6810e3a1ed26ce0", "0e0da88c4f104010878b75626c314588", "9de99b119382442f906d44c45c1f6062", "d7520cfa44ac4d44b3df0aaa493253db", "04438aad312c41ccbdd7db131af394ed", "2389dee62edd41f9b09344403153dea5", "783361ecfbc5417688c9c94c62c3aa4a", "cfb2315b97314e0eb16c312fc9e6a0af", "e72668a69fd64856bd98afeee2f01369", "549c1d8b7365419a84678adc05c52e25", "0dba9ec82b8d43a28de3f2e51bce620d", "ba4561ef6918486b90448d2fc0f9e867", "87e8539166814198b7b57a2431f2d2fe", "8cbbcceafdf24d14a06c9e5434341066", "e99c0ac4cb314ecfab36ba16c4e1689a", "8e3bc0d2fd49437990ed887a936af777", "29c09202e45b4e5c94c8210313790010", "1a202e188e8c4a1d8e1ef35411726e5e", "b246f6036d2a43c9b8d870454226a9bc", "3e54e6b3b843402abe0ddd7bb1f34786", "00751a85b8804be290e4c1719c342b88", "e6f2a2ccc9254305b842ea17bc3ba169", "780ba96a78824bf1a6def7e83330cc70", "f007f932f83641658d8859a85fff20b9", "02e08a73ab62446db97186157bbd6793", "dbbb785e1905414ea104d7a34a5d1f13", "f907a37f69c741e88a58b18bbde1581b", "01aa2608d52a4a15a459f5c4c1b00acb", "2953b41aa5994cc59dc207e9087dcdc4", "49d29323708646adaf75b7c084aea7fe", "f59ab3b7fd9c4e6bbd9d3754be87b546", "2608f7009f334fc48d8dfb14beed93a9", "6ae3d0f1ddf148dfb8f8ef8c9050b46c", "a9816453469c476dbd735e2da9faef75", "5b2691bedcd64b62b2db2cbbe7208d52" ] }, "id": "mUPY50mytSxw", "outputId": "56a9150e-b233-4d0c-8024-071366fca53f" }, "execution_count": 9, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "config.json: 0%| | 0.00/841 [00:00" ], "text/html": [ "
" ] }, "metadata": {} }, { "output_type": "execute_result", "data": { "text/plain": [] }, "metadata": {}, "execution_count": 9 } ] }, { "cell_type": "markdown", "source": [ "## classify sentiments expressed through text or emojis:\n" ], "metadata": { "id": "hb0VfFTKt_O0" } }, { "cell_type": "code", "source": [ "import gradio as gr\n", "from transformers import pipeline\n", "\n", "# Initialize the sentiment analysis pipeline with a potentially better model\n", "model_name = \"cardiffnlp/twitter-roberta-base-sentiment\"\n", "sa = pipeline('sentiment-analysis', model=model_name)\n", "\n", "def classify_emoji(prompt):\n", " result = sa(prompt)\n", " label = result[0]['label']\n", " score = result[0]['score']\n", "\n", " # Map the label to a user-friendly sentiment\n", " if label == 'LABEL_2': # Assuming LABEL_2 is positive\n", " sentiment = \"Positive\"\n", " elif label == 'LABEL_0': # Assuming LABEL_0 is negative\n", " sentiment = \"Negative\"\n", " elif label == 'LABEL_1': # Assuming LABEL_1 is neutral\n", " sentiment = \"Neutral\"\n", "\n", " return sentiment, f\"{score:.2f}\"\n", "\n", "textbox = gr.Textbox(label=\"Enter the emoji or text:\")\n", "textbox_sen = gr.Textbox(label=\"Sentiment\")\n", "textbox_score = gr.Textbox(label=\"Confidence Score\")\n", "\n", "interface = gr.Interface(\n", " fn=classify_emoji,\n", " inputs=textbox,\n", " outputs=[textbox_sen, textbox_score],\n", " title=\"Emoji Sentiment Classification\",\n", " description=\"Enter an emoji or text to classify its sentiment. The model will return the sentiment and a confidence score.\",\n", " theme=\"compact\"\n", ")\n", "\n", "interface.launch()\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 715 }, "id": "y5rH57MKzGRl", "outputId": "ada0bbbd-c74e-4e49-8d92-7e63f9217a16" }, "execution_count": 15, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py:983: UserWarning: Cannot load compact. Caught Exception: 404 Client Error: Not Found for url: https://huggingface.co/api/spaces/compact (Request ID: Root=1-668ab353-36a1e06d5e803cc853ea292b;c35b6258-8e5f-47a3-a6b0-b09be165153c)\n", "\n", "Sorry, we can't find the page you are looking for.\n", " warnings.warn(f\"Cannot load {theme}. Caught Exception: {str(e)}\")\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Setting queue=True in a Colab notebook requires sharing enabled. Setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n", "\n", "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n", "Running on public URL: https://77c80534e67d0a7b57.gradio.live\n", "\n", "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "
" ] }, "metadata": {} }, { "output_type": "execute_result", "data": { "text/plain": [] }, "metadata": {}, "execution_count": 15 } ] } ] }