{"id":27360763,"url":"https://github.com/osainz59/aqgsas","last_synced_at":"2025-08-03T23:41:00.641Z","repository":{"id":118908177,"uuid":"250262761","full_name":"osainz59/AQGSAS","owner":"osainz59","description":"Automatic Question Generation and Short Answer Scoring system","archived":false,"fork":false,"pushed_at":"2020-05-30T17:43:06.000Z","size":305,"stargazers_count":7,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-13T01:24:27.383Z","etag":null,"topics":["deep-learning","exercise-generator","machine-learning","question-answering","question-generation","reading-comprehension","text-similarity"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/osainz59.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,"zenodo":null}},"created_at":"2020-03-26T13:14:54.000Z","updated_at":"2023-09-14T10:04:17.000Z","dependencies_parsed_at":"2023-03-15T07:00:50.689Z","dependency_job_id":null,"html_url":"https://github.com/osainz59/AQGSAS","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/osainz59/AQGSAS","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/osainz59%2FAQGSAS","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/osainz59%2FAQGSAS/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/osainz59%2FAQGSAS/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/osainz59%2FAQGSAS/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/osainz59","download_url":"https://codeload.github.com/osainz59/AQGSAS/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/osainz59%2FAQGSAS/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":268629719,"owners_count":24281172,"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":"2025-08-03T02:00:12.545Z","response_time":2577,"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":["deep-learning","exercise-generator","machine-learning","question-answering","question-generation","reading-comprehension","text-similarity"],"created_at":"2025-04-13T01:19:31.920Z","updated_at":"2025-08-03T23:41:00.601Z","avatar_url":"https://github.com/osainz59.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Automatic Question Generation and Short Answer Scoring system\n\n![Image of application design](img/application_design.png)\n\n## Instalation\n\nThe first think you have to do is install the requirements. You can do it with the following command:\n\n```bash\npip install -r requirements.txt\n```\n\n### Question Generation model\n\nThe model used on this application is the checkpoint provided by [UniLM](https://github.com/microsoft/unilm) that you can download from here: [here](https://drive.google.com/open?id=1JN2wnkSRotwUnJ_Z-AbWwoPdP53Gcfsn).\n\nOnce you downloaded the checkpoint create the `pretrained_models/` directory and save the checkpoint there.\n\n## How to run\n\nThe `host` and `port` arguments are only necessary if you want to open a server through internet. If you want to just open the server for local usage skip those parameters.\n\n### Linux\n```bash\nexport FLASK_APP=server.py\nflask run --host=YOUR_LOCAL_IP --port=PORT\n```\n\n### Windows\n```powershell\n$env:FLASK_APP = \"server.py\"\nflask run --host=YOUR_LOCAL_IP --port=PORT\n```\n\n## Credits\n\nThis application is powered by the following resources:\n* Transformers (🤗 [Huggingface](https://github.com/huggingface/transformers))\n* Flair ([FlairNLP](https://github.com/flairNLP/flair))\n* UniLM ([Microsoft](https://github.com/microsoft/unilm))\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fosainz59%2Faqgsas","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fosainz59%2Faqgsas","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fosainz59%2Faqgsas/lists"}