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It also offers an user-friendly yet versatile Python interface that can be fully integrated into data science workflows, aiming to streamline and accelerate hazard risk assessment tasks.\n\n## Using the model\n\nFor how to install and use the model, please visit [here](https://synxflow.readthedocs.io)\n\n## Running the model on Google Colab\n\nThe tutorials can also run on Google Colab by using one of the following links\n\n[Click me to run a flood simulation](https://colab.research.google.com/drive/1ujrdzuEeFOZ1L_iETmu4G97HiZQpOb2o?usp=sharing)\n\n[Click me to run a landslide runout simulation](https://colab.research.google.com/drive/1D_Y0-NOyNBuDAKISqiPtGClNe5mRybsF?usp=sharingg)\n\n[Click me to run a debris flow simulation](https://colab.research.google.com/drive/1xz-CqSVJBH_nyFZSRVagRVHZ2dcXiFI-?usp=sharing)\n\n## Using LLMs to control SynxFlow\n\nIt is also possible to use Large Language Models (LLMs) to generate script to use SynxFlow and build complex workflows. \n\nPlease see this [tutorial](https://synxflow.readthedocs.io/en/latest/Tutorials/LLM.html) to learn how to do this.\n\n\n## Acknowledgment\nSynxFlow represents our distinct vision for the next generation of tools in this field, aiming to address evolving challenges and user needs with cutting-edge technologies. 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