{"id":20254324,"url":"https://github.com/amirhosseinazami1373/scinetific-text-summarizer","last_synced_at":"2026-07-02T08:31:54.905Z","repository":{"id":252178375,"uuid":"839659999","full_name":"amirhosseinazami1373/Scinetific-Text-Summarizer","owner":"amirhosseinazami1373","description":"This summarizer generates short summaries of scientific articles from Google Scholar using the power of the affordable GPT-3.5-turbo.","archived":false,"fork":false,"pushed_at":"2024-08-08T05:20:36.000Z","size":15,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-05T04:35:46.795Z","etag":null,"topics":["gpt-35-turbo","langchain","llms","nlp-machine-learning","prompt-engineering","textsummarization"],"latest_commit_sha":null,"homepage":"","language":null,"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/amirhosseinazami1373.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}},"created_at":"2024-08-08T04:29:47.000Z","updated_at":"2024-09-05T17:05:34.000Z","dependencies_parsed_at":null,"dependency_job_id":"f6e800bc-d606-4fce-97d4-ef2866623ff0","html_url":"https://github.com/amirhosseinazami1373/Scinetific-Text-Summarizer","commit_stats":null,"previous_names":["amirhosseinazami1373/scinetific-text-summarizer"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/amirhosseinazami1373/Scinetific-Text-Summarizer","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amirhosseinazami1373%2FScinetific-Text-Summarizer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amirhosseinazami1373%2FScinetific-Text-Summarizer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amirhosseinazami1373%2FScinetific-Text-Summarizer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amirhosseinazami1373%2FScinetific-Text-Summarizer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/amirhosseinazami1373","download_url":"https://codeload.github.com/amirhosseinazami1373/Scinetific-Text-Summarizer/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amirhosseinazami1373%2FScinetific-Text-Summarizer/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":35040017,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-07-02T02:00:06.368Z","response_time":173,"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":["gpt-35-turbo","langchain","llms","nlp-machine-learning","prompt-engineering","textsummarization"],"created_at":"2024-11-14T10:32:04.549Z","updated_at":"2026-07-02T08:31:54.887Z","avatar_url":"https://github.com/amirhosseinazami1373.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 style=\"display: flex; justify-content: space-between; align-items: center;\"\u003e\n    \u003cspan\u003eScientific Text Summarizer\u003c/span\u003e\n    \u003cimg src=\"https://github.com/user-attachments/assets/30168dc8-3dce-4756-9070-31ef0b4a95ac\" alt=\"LangChain\" style=\"width: 200px;\"/\u003e\n    \u003cimg src=\"https://github.com/user-attachments/assets/8985f5fe-dbb5-4692-969e-6141d2721feb\" alt=\"LangChain\" style=\"width: 200px;\"/\u003e\n\u003c/h1\u003e\n\nThis summarizer generates short summaries of scientific articles from Google Scholar using the power of the affordable GPT-3.5-turbo.\n\n# Requirements:\n\n1- You will need an OpenAi API key to access the LLM model.\n\n2- Install openai, LangChain and scholarly packages using \n\n    pip install openai scholarly langchain\n\n\n3- To generate the summaries, run the code and enter your desired keywords (use ',' to separate the keywords). \n\n4- You can further increase the randomness in the summaries using the 'temperature' parameter.\n\n5- The number of summaries for a set of keywords has been limited to 10; you can easily increase the number by changing the code. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famirhosseinazami1373%2Fscinetific-text-summarizer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famirhosseinazami1373%2Fscinetific-text-summarizer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famirhosseinazami1373%2Fscinetific-text-summarizer/lists"}