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manage the Virtual Environment,\nyou can create the `.venv` directory as follows:\n\n```bash\npython3 -m venv .venv\n```\n\n\u003e `venv` comes as part of Python's standard library since Python v3.3\n\n\u003e `.venv` should not be commited to the Git Repository\n\nThen activate the Virtual Environment by executing:\n\n```bash\nsource .venv/bin/activate\n```\n\nConfirm the virtual environment is activated by checking Python binary path:\n\n```bash\nwhich python\n```\n\n\u003e While the virtual environment is active, the above command will output a filepath that includes the\n\u003e `.venv` directory, e.g. `.venv/bin/python`.\n\n\u003e If you want to switch projects or leave your virtual environment, deactivate the environment:\n\u003e ```bash\n\u003e deactivate\n\u003e ```\n\n### Running Dockerized Ollama\n\nThis project uses Dockerized Ollama as LLM, the included `Justfile` provides a convenient recipe\nto run the Ollama container.\n\n```bash\njust run-ollama\n```\n\nThen you can install the Model using:\n\n```bash\njust run-model\n```\n\n\u003e This project is using a memory cheap model:\n\u003e https://ollama.com/library/smollm:1.7b\n\n![venv](https://packaging.python.org/en/latest/guides/installing-using-pip-and-virtual-environments/)\n![ollama](https://ollama.com/blog/ollama-is-now-available-as-an-official-docker-image)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstudyresearchprojects%2Fweather-agent-old","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstudyresearchprojects%2Fweather-agent-old","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstudyresearchprojects%2Fweather-agent-old/lists"}