{"id":24795918,"url":"https://github.com/abdouaziz/autocomplet","last_synced_at":"2026-05-13T07:04:08.928Z","repository":{"id":136094934,"uuid":"324813438","full_name":"abdouaziz/autocomplet","owner":"abdouaziz","description":"N-grams to build an autocomplet","archived":false,"fork":false,"pushed_at":"2020-12-29T23:51:17.000Z","size":2970,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-30T00:32:13.002Z","etag":null,"topics":["angular","flask","frontend","language-models","projet"],"latest_commit_sha":null,"homepage":"","language":"JavaScript","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/abdouaziz.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":"2020-12-27T17:29:19.000Z","updated_at":"2022-01-01T01:32:53.000Z","dependencies_parsed_at":null,"dependency_job_id":"38383ba6-4e3d-4903-b35c-43cdcb53c680","html_url":"https://github.com/abdouaziz/autocomplet","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abdouaziz%2Fautocomplet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abdouaziz%2Fautocomplet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abdouaziz%2Fautocomplet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abdouaziz%2Fautocomplet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/abdouaziz","download_url":"https://codeload.github.com/abdouaziz/autocomplet/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245344008,"owners_count":20599867,"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":["angular","flask","frontend","language-models","projet"],"created_at":"2025-01-30T00:30:02.511Z","updated_at":"2026-05-13T07:04:03.907Z","avatar_url":"https://github.com/abdouaziz.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Autocomplete and Language Models\n\n\n![autocompletion](https://github.com/abdouaziz/autocomplet/blob/master/image/image.JPG)\n\n\u003e In this projet we use an N-grams and language Models to build an autocomplete\n\u003e The projet run with Flask and Angular \n\n### N-Grams and Language Models\n- A language model is a tool that's calculates the probabilities of sentences.\n- Language models can estimate the probability of an upcoming word given a history of previous words.\n- apply language models to autocomplete a given sentence then it outputs a suggestions to complete the sentence\n- Applications:\n  - Speech recognition\n  - Spelling correction\n  - Augmentativce communication\n- N-gram is a sequence of words.\n\n## Getting Started\n\nThese instructions will get you a copy of the project up and running on your local machine for development and testing purposes. \n\n### Prerequisites\n\n \ninstall Flask by typing this code below \n\n```\n pip install Flask\n```\n\ninstall Angular by typing this code below \n\n```\nnpm i @angular/cli\n```\n\n## Running the tests\n\nTo launch the project, place  in the folder and launch the command below\n\n```\n$ set FLASK_APP = app.py\n$ flask run\n```\n\nPlace into app_Frontend and type\n\n```\n$ ng serve \n```\n\n\n\n## Files \n\n* app_Frontend - the frontend is running on Angular\n* app.py- the application running on Flask\n\n  \n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabdouaziz%2Fautocomplet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabdouaziz%2Fautocomplet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabdouaziz%2Fautocomplet/lists"}