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        "author": "Rahul Bhalley",
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        "description": "# Flow Python Client API\n\nGet started by obtaining your API key from official [webpage](https://theflowai.com).\n\n### Installation\n\nClone this repository\n\n```bash\ngit clone https://github.com/flow-artint/flow-python.git\n```\n\nInstall this package from `flow-python` directory\n\n```bash\ncd flow-python\npip install .\n```\nUse `sudo` with `pip` above, if required.\n\n### Usage\n\nSimple demo of how to use this package for face detection. \n\n```python\nfrom flowai import FlowApp, Model\n\napp = FlowApp(api_key=\"YOUR_API_KEY\")\n\n# Setup some variables\ninput_url = \"https://qph.fs.quoracdn.net/main-qimg-53a3aa40f0b577ac69588681fb60d0c3-c\"\nmodel_name = Model.FACE_DETECTION\n\n# Now, make the prediction\nprediction = app.predict_by_url(input_url, model_name)\n\n# Get results\n(status_code, result) = prediction[\"status_code\"], prediction[\"result\"]\nbounding_box = result[0][:4]\nconfidence_score = result[0][-1]\n\nprint(f'status_code: {status_code}')\nprint(f'result: {result[0]}')\nprint(f\"bounding_box: {bounding_box}\")\nprint(f\"confidence_score: {confidence_score}\")\n```\n\nPrints the following:\n```\nstatus_code: 200\nresult: [315.84075927734375, 56.2187385559082, 370.674560546875, 128.3153839111328, 0.9999943971633911]\nbounding_box: [315.84075927734375, 56.2187385559082, 370.674560546875, 128.3153839111328]\nconfidence_score: 0.9999943971633911\n```\n\nSee [documentation](https://docs.theflowai.com) for detailed explanation.",
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