{"id":19865412,"url":"https://github.com/brunomontezano/exemplo-streamlit","last_synced_at":"2026-05-09T22:16:31.057Z","repository":{"id":199569711,"uuid":"703216110","full_name":"brunomontezano/exemplo-streamlit","owner":"brunomontezano","description":"🌸 Códigos para elaboração de um web app com modelo de classificação de espécies de lírios (iris).","archived":false,"fork":false,"pushed_at":"2023-10-16T13:46:23.000Z","size":231,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-11T15:40:40.654Z","etag":null,"topics":["aprendizado-de-maquina","classification","deploy","grupo-de-estudos","inteligencia-artificial","iris-dataset","machine-learning","predictive-modeling","pt-br","streamlit","web-app"],"latest_commit_sha":null,"homepage":"https://exemplo-iris.streamlit.app/","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/brunomontezano.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-10-10T20:18:54.000Z","updated_at":"2024-04-14T23:07:35.000Z","dependencies_parsed_at":"2024-11-12T19:33:40.615Z","dependency_job_id":null,"html_url":"https://github.com/brunomontezano/exemplo-streamlit","commit_stats":null,"previous_names":["brunomontezano/exemplo-streamlit"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brunomontezano%2Fexemplo-streamlit","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brunomontezano%2Fexemplo-streamlit/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brunomontezano%2Fexemplo-streamlit/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brunomontezano%2Fexemplo-streamlit/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/brunomontezano","download_url":"https://codeload.github.com/brunomontezano/exemplo-streamlit/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241274598,"owners_count":19937222,"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","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":["aprendizado-de-maquina","classification","deploy","grupo-de-estudos","inteligencia-artificial","iris-dataset","machine-learning","predictive-modeling","pt-br","streamlit","web-app"],"created_at":"2024-11-12T15:22:29.632Z","updated_at":"2026-05-09T22:16:31.018Z","avatar_url":"https://github.com/brunomontezano.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Deploy de modelo de ML com Streamlit \u003ca href='https://github.com/brunomontezano/exemplo-streamlit/'\u003e\u003cimg src='figuras/imagem_lirio.jpg' align=\"right\" height=\"139\" /\u003e\u003c/a\u003e\n\nNesse repositório, temos três arquivos principais:\n\n- `modelo.py`: Criação do modelo de floresta\naleatória (*random forest*).\n\n- `predicao.py`: Criação da função para fazer as\npredições nos dados de entrada do web app.\n\n- `app.py`: Estrutura do web app através do framework\n[Streamlit](https://streamlit.io/).\n\nEsse material foi preparado para um grupo de estudos\nsobre aprendizado de máquina e saúde mental, constituído\nprimariamente por alunos de pós-graduação de cursos\nda saúde.\n\nO código foi inspirado no código de exemplo do usuário\n*santiviquez* no GitHub. Você pode acessar o código original\ncompleto em [santiviquez/iris-streamlit](https://github.com/santiviquez/iris-streamlit).\n\n## For english speakers\n\nThis is a repository that contains the codes to build a web app to\ndeploy a machine learning model to predict iris species.\nThe material is in Brazilian Portuguese. The file `modelo.py` is the\nscript for creating the predictive model, `predicao.py` stores the\nfunction to perform predictions on new input data and `app.py` is the\ncode to generate the web app using the framework [Streamlit](https://streamlit.io/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrunomontezano%2Fexemplo-streamlit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbrunomontezano%2Fexemplo-streamlit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrunomontezano%2Fexemplo-streamlit/lists"}