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self.summarizer_agent = SummarizerAgent()\n", " self.sentiment_agent = SentimentAnalyzerAgent()\n", "\n", " def process_text(self, text):\n", " print(\"Coordinator: Sending text to SummarizerAgent...\")\n", " summary = self.summarizer_agent.summarize(text)\n", " print(f\"SummarizerAgent Output: {summary}\")\n", "\n", " print(\"Coordinator: Sending summary to SentimentAnalyzerAgent...\")\n", " sentiment = self.sentiment_agent.analyze_sentiment(summary)\n", " print(f\"SentimentAnalyzerAgent Output: {sentiment}\")\n", "\n", " return {\n", " \"summary\": summary,\n", " \"sentiment\": sentiment\n", " }\n", "\n", "# Example Text\n", "text = \"\"\"\n", "The new movie released this weekend has garnered mixed reviews. 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Fans appreciated\n", "the visual effects, but many felt the overall experience lacked originality.\n", "\"\"\"\n", "\n", "# Run Multi-Agent System\n", "coordinator = Coordinator()\n", "result = coordinator.process_text(text)\n", "\n", "print(\"\\nFinal Report:\")\n", "print(f\"Summary: {result['summary']}\")\n", "print(f\"Sentiment: {result['sentiment']}\")\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 985, "referenced_widgets": [ "a88039fd32f6451e9b40ba0c80809754", "afd1088d4d074f92b15128c3b8928b87", "2dc269ce61fd477bbfa38bb50409447b", "f34ac57327774b8ba7f1430410025976", "28383b72d8304ee794dc76e544f6983c", "1887a4468ede4abd9197c7aca162dcc2", "2a79e89b54744baea8871feee4b92bbb", "bc72b7ab36624439be282ac931b56b64", "35c6f540b774456090b13990688b8a15", "4c0d3b852db84623a6a7124f0a6eb850", "0c604170a7274adb91e9b22d5bfd2531", "a48456fc5b5b4dd4ba93bb76efdbf5d9", "5e215abf59964d40887e130a75b31f51", "16fd0751caac45f99b87f38ccda60e7c", 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"757340c07789409ab615228b5234415e", "1e8945ae790347a1ae923aa1ced6cc07", "67acb20f902845d9b788e079e3a7482f", "bb2d6fa4f7fd49f989e7aab3eb827896", "a6981e9cc11c4936acb36cd22b9ded27", "9b9e5f0d1c1743cf85630665a87df1dd", "94ab0c6a13554bacb96bc2cb19d43094", "61a13276509645db81e1db3819288918", "235b0f46164545118c6895fcaac76dbc", "13f67af3d7d84b53b7768e4545d01dc9", "b15bf27804f544199c97c80acd7e7d2f", "8155280645ba4069a6bc8efa78001c03", "f4f645a5337f48c8ac6aad5cd0d2cfab", "892cb2d0ddff4a87895a75ebc49349ee", "926d2c9974ee4d629ae56d75b7d44650", "2f1654d9b5fb42b7a216819c6e69fbc6", "2b42210d8c1142e1a6a0bfac14774e46", "deecdf62ab9f46b3b4be02f4410b0f94", "28abfdb3ce3f4f42a095bcc25b7fbd96", "b891f9d34b9944a7ac4daef77ade5c28", "43e6cb5e345f4e10ae5b6bde08099390", "967e6e6b89004b01ac0ee9c61e04772f", "d9dbef78b6224e51bdcddc11f97e484b", "2fc64b14c6ec4970851a96a02438971a", "049ff841d2ec4f9f88b0a439ac854c23", "973af6c2b0254fdba925692dbf0718b4", "8533fa6ca7d74266aa3b226b5ddc3465", "000f1305f427480489f33354b5704992", "966f1b6aeaec4be58b73086b573cf60d", "3d2e21a2572c44c6bff703e3e8b10a1b", "6cb22c2c643e4735946c72c0929cfe64", "1a3286c12f484cdbb71fbd0ae325f072", "e267ecca5f2f4397882b52ce7a81b78c", "6652f58a09cd41e29e90517415833ad4", "5f5ce3d5789b482e83ea73a8fb2e1812", "539dfaabaf9b483b8d13cad264b72da2", "8e4c38c0fdc448b7b9cb0c8f21caafdd", "ed9e992773b64e61a4bfb35c54334107", "c14b636dc6094d94923ddb0a45834403", "a668864449384327bd7f527caff79102", "b007e5b8d05d41eaa437c0eb670b15fc", "18d42ad5233e46f2a4571912ff6c544f", "60a463f3edd7477abd77c3c411703dc2", "ca084440557048b49b6791127616b7b1", "00c6478c736f49959a0f5880cb669c3b", "9e3fa566142b493495b5572783e8c2bf", "0c20e9a3fa0f41af92e9cb9a23ea9991", "1a7085770a2e40e1bf1ab88d678200a1", "0447f2d11619461db5782116b82a946a", "dd65f1e402b64174a36aa0acb47c878f", "c79684f9f01a4f62bdad22550d66558a", "c2057eeb97984d31ad9511180301d948", "efc2f2ba368e43a5abea06444ae83af2", "7ec4e35bc0bd401180983dd7c04ed621", "4e035355fe184d1abcb7c1de74b7d3c8", "de5f5ca1b94c42dda71ead05deadb0bb", "e237b4eabf0a451db4141dda5b70e11b", "d59234dbaf8c4d1aa6b314fc4c09c9c2" ] }, "id": "NIgXWetH6LmV", "outputId": "335e269a-e679-4bae-bb4a-f5d98c293b1c" }, "execution_count": 1, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Requirement already satisfied: transformers in /usr/local/lib/python3.11/dist-packages (4.47.1)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from transformers) (3.16.1)\n", "Requirement already satisfied: huggingface-hub<1.0,>=0.24.0 in /usr/local/lib/python3.11/dist-packages (from transformers) (0.27.1)\n", "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.11/dist-packages (from transformers) (1.26.4)\n", "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.11/dist-packages (from transformers) (24.2)\n", "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.11/dist-packages (from transformers) (6.0.2)\n", "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.11/dist-packages (from transformers) (2024.11.6)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from transformers) (2.32.3)\n", "Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.11/dist-packages (from transformers) (0.21.0)\n", "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.11/dist-packages (from transformers) (0.5.2)\n", "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.11/dist-packages (from transformers) (4.67.1)\n", "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.11/dist-packages (from huggingface-hub<1.0,>=0.24.0->transformers) (2024.10.0)\n", "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.11/dist-packages (from huggingface-hub<1.0,>=0.24.0->transformers) (4.12.2)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests->transformers) (3.4.1)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests->transformers) (3.10)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests->transformers) (2.3.0)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests->transformers) (2024.12.14)\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "No model was supplied, defaulted to sshleifer/distilbart-cnn-12-6 and revision a4f8f3e (https://huggingface.co/sshleifer/distilbart-cnn-12-6).\n", "Using a pipeline without specifying a model name and revision in production is not recommended.\n", "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:94: 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": "display_data", "data": { "text/plain": [ "config.json: 0%| | 0.00/1.80k [00:00