{"id":29022898,"url":"https://github.com/al-jurjani/lstreamlit","last_synced_at":"2026-04-28T12:37:47.334Z","repository":{"id":301173495,"uuid":"1008353389","full_name":"al-Jurjani/LStreamLit","owner":"al-Jurjani","description":"This is a simple web classifier application built with Streamlit. This project was created as a learning exercise, following a tutorial. The application can classify images from the CIFAR-10 dataset.","archived":false,"fork":false,"pushed_at":"2025-06-25T13:41:58.000Z","size":31652,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-25T14:42:41.958Z","etag":null,"topics":["image-classification","keras","machine-learning","python","streamlit","tensorflow","webapp"],"latest_commit_sha":null,"homepage":"https://youtu.be/_Syn5SpWgZ0?feature=shared","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/al-Jurjani.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"zenodo":null}},"created_at":"2025-06-25T12:14:12.000Z","updated_at":"2025-06-25T13:42:02.000Z","dependencies_parsed_at":"2025-06-25T14:53:25.070Z","dependency_job_id":null,"html_url":"https://github.com/al-Jurjani/LStreamLit","commit_stats":null,"previous_names":["al-jurjani/lstreamlit"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/al-Jurjani/LStreamLit","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/al-Jurjani%2FLStreamLit","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/al-Jurjani%2FLStreamLit/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/al-Jurjani%2FLStreamLit/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/al-Jurjani%2FLStreamLit/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/al-Jurjani","download_url":"https://codeload.github.com/al-Jurjani/LStreamLit/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/al-Jurjani%2FLStreamLit/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261990350,"owners_count":23241187,"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":["image-classification","keras","machine-learning","python","streamlit","tensorflow","webapp"],"created_at":"2025-06-26T03:04:07.915Z","updated_at":"2026-04-28T12:37:47.289Z","avatar_url":"https://github.com/al-Jurjani.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Streamlit Web Classifier\n\nThis project is a simple image classification web application built using Streamlit. It was developed as a learning project by following an online tutorial.\n\n## Features\n\n*   Upload an image (JPG or PNG)\n*   The application uses a trained model to classify the image into one of the 10 CIFAR-10 classes.\n*   Displays the uploaded image.\n*   Shows a bar chart of the prediction probabilities for each class.\n\n## Classes\n\nThe model can classify images into the following 10 categories:\n\n*   Airplane\n*   Automobile\n*   Bird\n*   Cat\n*   Deer\n*   Dog\n*   Frog\n*   Horse\n*   Ship\n*   Truck\n\n## Acknowledgements\n\nThis project was created by following a tutorial on building machine learning applications with Streamlit.\nLink to tutorial: https://youtu.be/_Syn5SpWgZ0?feature=shared\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fal-jurjani%2Flstreamlit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fal-jurjani%2Flstreamlit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fal-jurjani%2Flstreamlit/lists"}