{"id":18674040,"url":"https://github.com/jmaczan/text-to-ml","last_synced_at":"2025-10-13T20:38:36.172Z","repository":{"id":231533051,"uuid":"781990390","full_name":"jmaczan/text-to-ml","owner":"jmaczan","description":"Programmable automated machine learning - proof of concept","archived":false,"fork":false,"pushed_at":"2024-10-09T07:59:19.000Z","size":256,"stargazers_count":15,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-09-04T22:28:53.780Z","etag":null,"topics":["automl","deep-learning","huggingface","hugginggpt","machine-learning","python"],"latest_commit_sha":null,"homepage":"https://pagedout.institute/download/PagedOut_004_beta1.pdf#page=4","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jmaczan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-04-04T12:32:21.000Z","updated_at":"2025-05-13T00:41:56.000Z","dependencies_parsed_at":"2025-04-12T01:35:52.069Z","dependency_job_id":"fe1236c4-3873-4288-81e4-731ad219dfd3","html_url":"https://github.com/jmaczan/text-to-ml","commit_stats":null,"previous_names":["jmaczan/text-to-ml"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jmaczan/text-to-ml","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmaczan%2Ftext-to-ml","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmaczan%2Ftext-to-ml/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmaczan%2Ftext-to-ml/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmaczan%2Ftext-to-ml/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jmaczan","download_url":"https://codeload.github.com/jmaczan/text-to-ml/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmaczan%2Ftext-to-ml/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279016932,"owners_count":26085910,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-13T02:00:06.723Z","response_time":61,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["automl","deep-learning","huggingface","hugginggpt","machine-learning","python"],"created_at":"2024-11-07T09:17:18.471Z","updated_at":"2025-10-13T20:38:36.159Z","avatar_url":"https://github.com/jmaczan.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🎮 text-to-ml\n\n\u003e 💜 PagedOut #4 Issue [\"Building automated machine learning with type inference\"](https://pagedout.institute/download/PagedOut_004_beta1.pdf#page=4)\n\nRun AutoML using natural text. Like HuggingGPT + LangChain + type inference\n\n\u003e 🏭 A breakdown of what is going on in code you can read on my blog: [maczan.pl](https://maczan.pl/p/lets-build-text-to-ml-an-automl-library)\n\nIt picks a right model from Hugging Face library based on user natural language query and then runs the model and parses the output to a type, inferred from the query\n\n\u003cp align=\"center\"\u003e\u003cimg width=\"500\" src=\"https://github.com/jmaczan/text-to-ml/assets/18054202/63367fd9-5db9-46a2-8ec7-e17f5c8e2863\" alt=\"Text-to-ML\"\u003e\u003c/p\u003e\n\n\u003e ⚡ You can run this code in [Lightning AI Studio template](https://lightning.ai/jed/studios/build-your-own-automl-using-hugging-face-inference-client-and-openai-api)\n\u003cp\u003e\n\u003ca target=\"_blank\" href=\"https://lightning.ai/jed/studios/build-your-own-automl-using-hugging-face-inference-client-and-openai-api\"\u003e\n  \u003cimg src=\"https://pl-bolts-doc-images.s3.us-east-2.amazonaws.com/app-2/studio-badge.svg\" alt=\"Open In Studio\"/\u003e\n\u003c/a\u003e\n\u003c/p\u003e\n\nIt's still an early project and **you are welcome to contribute**!\n\n## Setup\n\n1. Get OpenAI API Key\n2. Get Hugging Face API Key\n3. Create an assistant and copy its id\n4. Create `.env` file and fill it with values:\n\n```\nOPENAI_API_KEY=\nHF_TOKEN=\n```\n\n## Build\n\n```sh\nconda create -n text-to-ml python=3.9\nconda activate text-to-ml\nconda install --file requirements.txt\n```\n\n## Run\n\n```\npython app.py\n```\n\n## Run experiments\n\n```\npython experiments.py\n```\n\n## Cite\nIf you use this software in your research, please use the following citation:\n\n```bibtex\n@misc{Maczan_TextToML_2024,\n  title = \"Programmable automated machine learning - proof of concept\",\n  author = \"{Maczan, Jędrzej Paweł}\",\n  howpublished = \"\\url{https://github.com/jmaczan/text-to-ml}\",\n  year = 2024,\n  publisher = {GitHub}\n}\n```\n\n## License\n\nGPLv3\n\n## Author\n\nJędrzej Paweł Maczan, Poland, 2024\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmaczan%2Ftext-to-ml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjmaczan%2Ftext-to-ml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmaczan%2Ftext-to-ml/lists"}