{"id":15304385,"url":"https://github.com/derhnyel/emoplay","last_synced_at":"2026-01-07T04:43:03.339Z","repository":{"id":137449055,"uuid":"426393002","full_name":"derhnyel/emoplay","owner":"derhnyel","description":"A flask application for face detection and emotion recognition.","archived":false,"fork":false,"pushed_at":"2022-02-08T12:56:54.000Z","size":25316,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-01T20:45:13.306Z","etag":null,"topics":["flask","python"],"latest_commit_sha":null,"homepage":"https://emoplay.herokuapp.com/","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/derhnyel.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":"2021-11-09T21:31:55.000Z","updated_at":"2024-08-16T09:20:29.000Z","dependencies_parsed_at":null,"dependency_job_id":"aa019c7b-3b9d-45cf-9e6c-37a3c8627bc7","html_url":"https://github.com/derhnyel/emoplay","commit_stats":{"total_commits":29,"total_committers":2,"mean_commits":14.5,"dds":0.4482758620689655,"last_synced_commit":"50bbbc41e8faaf523681c21af9ff83aefdfe629d"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/derhnyel%2Femoplay","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/derhnyel%2Femoplay/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/derhnyel%2Femoplay/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/derhnyel%2Femoplay/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/derhnyel","download_url":"https://codeload.github.com/derhnyel/emoplay/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245891991,"owners_count":20689425,"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":["flask","python"],"created_at":"2024-10-01T07:55:49.391Z","updated_at":"2026-01-07T04:43:03.307Z","avatar_url":"https://github.com/derhnyel.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![Python 3.7|3.6|3.5|3.4](https://img.shields.io/badge/python-3.5%7C3.6%7C3.7%7C3.8-blue)](https://www.python.org/downloads/)\n[![Deploy](https://www.herokucdn.com/deploy/button.svg)](https://heroku.com/deploy?template=https://github.com/AbirHasan2005/GdriveSearcherBot)\n\n\u003ch3 align=\"center\"\u003ePLAYEMO\u003c/h1\u003e\n\u003cp align=\"center\"\u003ePlayemo was built from the ground-up with Flask, a python tool that makes it easy for developers to build APIs.\u003c/p\u003e\n\u003chr/\u003e\n\n## Use Cases\n\n\n**Is Python your language of choice?** If so, we have a [fully-supported Python API client] that makes working with the playemo API an easy task!\n\n\nThere are many reasons to use the playemo API. The most common use case is to predict the emotion of a person from a single photograph.\nHowever, this can also be used as a facial detection engine which returns a cropped out image of the face detected in a single photograph.!\n\n## Authorization\n\nAll API requests require the use of an API key\n\nTo authenticate an API request, you should provide your the `api_key=[API_KEY]` as a GET parameter to authorize yourself to the API. But note that this is likely to leave traces in things like your history, if accessing the API through a browser.\n\n```http\nGET /?api_key=12345678901234567890123456789012\n```\n\n| Parameter | Type | Description |\n| :--- | :--- | :--- |\n| `api_key` | `string` | **Required**. Your Playemo API key |\n\n## Responses\n\nMany API endpoints return the JSON representation of the resources created or edited. However, if an invalid request is submitted, or some other error occurs, Playemo returns a JSON response in the following format:\n\n```javascript\n{\n  \"error\" : string,\n  \"success\" : bool,\n  \"result\"    : string\n}\n```\n\nThe `error` attribute contains a message commonly used to indicate errors or, in the case of deleting a resource, success that the resource was properly deleted.\n\nThe `success` attribute describes if the transaction was successful or not.\n\nThe `result` attribute contains any other metadata associated with the response. This will be an escaped string containing JSON data.\n\n## Status Codes\n\nPlayemo returns the following status codes in its API:\n\n| Status Code | Description |\n| :--- | :--- |\n| 200 | `OK` |\n| 201 | `CREATED` |\n| 400 | `BAD REQUEST` |\n| 404 | `NOT FOUND` |\n| 500 | `INTERNAL SERVER ERROR` |\n\n## Links\n\nPlease don't hesitate to [file an issue](https://github.com/playemo_api/issues/new) if you see anything missing.\n\n- [Repo](https://github.com/derhnyel/playemo_api \"playemo_api Repo\")\n\n- [Live](https://emoplay.herokuapp.com \"Live View\")\n\n- [Bugs](https://github.com/derhnyel/playemo_api/issues \"Issues Page\")\n\n\n## Screenshots\n\n![Home Page](/screenshots/1.png \"Home Page\")\n\n## Available Commands\n\nIn the project directory, you can run:\n`python--version\" : \"check python version\"`,\n\nSince tensorflow supports python 3.7,3.6,3.5 or 3.4, i would advice you have python 3.6 installed on your machine.\n\n### `pip install -r requirements.txt\" : \"required libaries installed\"`,\n\nThis will install the the neccesarry libaries needed to run the application on your machine. \n### `python app.py\" : \"python-scripts start\"`,\n\nThe app is built using `Flask` so this command Runs the app in Development mode. Open [http://localhost:5000](http://localhost:5000) to view it in the browser. The page will reload if you make edits.\nYou will also see any lint errors in the console.\n\n\n## Built With\n\n- Python\n- Flask\n- Mtcnn\n- TensorFlow\n- Keras\n- CSS\n- HTML\n\n## Future Updates\n\n- A playlist recommendation system based on Emotion predicted\n\n## Author\n\n**DERHNYEL**\n\n- [Profile](https://github.com/derhnyel \"Eje Daniel\")\n- [Email](mailto:ejedenials@gmail.com?subject=Hi \"Hi!\")\n- [Website](https://daniel-eje.herokuapp.com \"Welcome\")\n\n## 🤝 Support\n\nContributions, issues, and feature requests are welcome!\n\nGive a ⭐️ if you like this project!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fderhnyel%2Femoplay","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fderhnyel%2Femoplay","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fderhnyel%2Femoplay/lists"}