{"id":16516852,"url":"https://github.com/adamspannbauer/app_rasa_chat_bot","last_synced_at":"2025-08-04T07:10:31.377Z","repository":{"id":83431942,"uuid":"123968741","full_name":"AdamSpannbauer/app_rasa_chat_bot","owner":"AdamSpannbauer","description":"a stateless chat bot to perform natural language queries against the App Store top charts","archived":false,"fork":false,"pushed_at":"2018-03-28T16:24:49.000Z","size":23668,"stargazers_count":29,"open_issues_count":0,"forks_count":13,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-08T16:38:05.691Z","etag":null,"topics":["chatbot","dash","nlp","nlu","plotly","rasa"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AdamSpannbauer.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}},"created_at":"2018-03-05T19:33:49.000Z","updated_at":"2024-05-15T13:13:09.000Z","dependencies_parsed_at":null,"dependency_job_id":"699d3d83-2790-4dbf-ad1e-bb4cfdd5369a","html_url":"https://github.com/AdamSpannbauer/app_rasa_chat_bot","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/AdamSpannbauer/app_rasa_chat_bot","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdamSpannbauer%2Fapp_rasa_chat_bot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdamSpannbauer%2Fapp_rasa_chat_bot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdamSpannbauer%2Fapp_rasa_chat_bot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdamSpannbauer%2Fapp_rasa_chat_bot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AdamSpannbauer","download_url":"https://codeload.github.com/AdamSpannbauer/app_rasa_chat_bot/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdamSpannbauer%2Fapp_rasa_chat_bot/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":268660145,"owners_count":24286028,"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":"2025-08-04T02:00:09.867Z","response_time":79,"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":["chatbot","dash","nlp","nlu","plotly","rasa"],"created_at":"2024-10-11T16:27:15.830Z","updated_at":"2025-08-04T07:10:31.362Z","avatar_url":"https://github.com/AdamSpannbauer.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Rasa NLU to query App Store Top Charts\n\n[Related blog post](https://adamspannbauer.github.io/2018/03/15/building-a-rasa-chatbot/) with more in depth write up of the process used in this repo.\n\n### Output\n\n\u003cp align='center'\u003e\n  \u003ckbd\u003e\n    \u003cimg src='readme/dash_demo2.gif' height=350\u003e\n  \u003c/kbd\u003e\n\u003c/p\u003e\n\nThe above image is a screen cap from a limited [Plotly Dash](https://plot.ly/products/dash/) app created to interact with the bot.  The app code is in [`dash_demo_app.py`](dash_demo_app.py).\n\nThe file [`live_test_rasa.py`](live_test_rasa.py), allows a similar experience from the command line instead of via Dash in browser.\n\n### Input Data:\n* [`data/generic_rasa_train_data.json`](data/generic_rasa_train_data.json): taken from the rasa intro restaurant chatbot example; all of the restaurant intent examples were removed\n* [`data/app_chart_data.csv`](data/app_chart_data.csv): table of top chart apps; the relevant column is just the list of app names to use as entities in training (table was created by [`utils/downloader.py`](utils/downloader.py))\n\n### Training process:\n* Generated domain specific training data with [`gen_training_data.py`](gen_training_data.py) and [`generic_rasa_train_data.json`](data/generic_rasa_train_data.json)\n\t* Parameterized phrases were created to fill in the blanks with randomly chosen entities\n\t\t* eg: `'show me the {ordrank} most popular {chart} app'`\n\t* Created `N` variations of the parameterized phrases and added them to the generic training data\n\t* output saved to [`data/app_train_data.json`](data/app_train_data.json)\n\n* Train the rasa model\n\t* [`train_rasa.py`](train_rasa.py) (generic train script from rasa docs)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadamspannbauer%2Fapp_rasa_chat_bot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fadamspannbauer%2Fapp_rasa_chat_bot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadamspannbauer%2Fapp_rasa_chat_bot/lists"}