{"id":19634460,"url":"https://github.com/dataprofessor/transcriber-app","last_synced_at":"2025-04-28T07:31:35.738Z","repository":{"id":41580252,"uuid":"434558425","full_name":"dataprofessor/transcriber-app","owner":"dataprofessor","description":null,"archived":false,"fork":false,"pushed_at":"2023-01-24T06:37:39.000Z","size":8,"stargazers_count":13,"open_issues_count":2,"forks_count":18,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-05T07:41:28.152Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/dataprofessor.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}},"created_at":"2021-12-03T10:38:33.000Z","updated_at":"2024-08-14T18:47:04.000Z","dependencies_parsed_at":"2023-02-13T18:35:16.000Z","dependency_job_id":null,"html_url":"https://github.com/dataprofessor/transcriber-app","commit_stats":null,"previous_names":[],"tags_count":0,"template":true,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dataprofessor%2Ftranscriber-app","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dataprofessor%2Ftranscriber-app/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dataprofessor%2Ftranscriber-app/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dataprofessor%2Ftranscriber-app/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dataprofessor","download_url":"https://codeload.github.com/dataprofessor/transcriber-app/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251271207,"owners_count":21562508,"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":[],"created_at":"2024-11-11T12:21:24.052Z","updated_at":"2025-04-28T07:31:34.554Z","avatar_url":"https://github.com/dataprofessor.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# transcriber-app\n\n# Watch the tutorial video\n\n[How to build your own Speech-to-Text Transcription App in Python using AssemblyAI](https://youtu.be/Kj0JtjAxxKA)\n\n\u003ca href=\"https://youtu.be/NNq_XBVk30w\"\u003e\u003cimg src=\"http://img.youtube.com/vi/NNq_XBVk30w/maxresdefault.jpg\" alt=\"How to build your own Speech-to-Text Transcription App in Python using AssemblyAI\" title=\"How to build your own Speech-to-Text Transcription App in Python using AssemblyAI\" width=\"500\" /\u003e\u003c/a\u003e\n\n# 1. Obtain the AssemblyAI API key\n\nObtain your free [AssemblyAI API key](https://www.assemblyai.com/?utm_source=youtube\u0026utm_medium=social\u0026utm_campaign=dataprofessor).\n\n# 2. Running transcriber as command line tool\n\nFirstly, copy and paste the AssemblyAI API key into the `api.txt` file (you can replace the text `replace_with_your_AssemblyAI_API_key` with your own API key).\n\nSecondly, install prerequisite `pytube` library by typing the following:\n```\npip3 install pytube\n```\n\nThirdly, run the transcriber by typing the following (note that you can replace the URL with a YouTube video of your choice):\n```\npython3 transcriber.py -i \"https://youtu.be/mkVjrB8g6mM\"\n```\n\n# 3. Running transcriber as a Streamlit app\nTo recreate this web app on your own computer, do the following.\n\n### Create conda environment (Optional)\nFirstly, we will create a conda environment called *transcriber*\n```\nconda create -n transcriber python=3.7.9\n```\nSecondly, we will login to the *transcriber* environment\n```\nconda activate transcriber\n```\n\n###  Download GitHub repo\n\n```\ngit clone https://github.com/dataprofessor/transcriber-app\n```\n\n###  Pip install libraries\n```\npip install -r requirements.txt\n```\n\n###  Launch the app\n\n```\nstreamlit run app.py\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdataprofessor%2Ftranscriber-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdataprofessor%2Ftranscriber-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdataprofessor%2Ftranscriber-app/lists"}