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!" + ], + "metadata": { + "id": "exIhXSzfH7kM" + } + }, + { + "cell_type": "markdown", + "source": [ + "Import the necessary modules :" + ], + "metadata": { + "id": "EMiezgGmIMs9" + } + }, + { + "cell_type": "code", + "source": [ + "import numpy as np\n", + "import gradio as gr\n", + "from transformers import pipeline" + ], + "metadata": { + "id": "xMqbTbwG_SB4" + }, + "execution_count": 2, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "Import the pipeline :" + ], + "metadata": { + "id": "m4_Ryev8IGDH" + } + }, + { + "cell_type": "code", + "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", + 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"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 + } + ] + } + ] +} \ No newline at end of file