GreatAI
-
-> Easily transform your prototype AI code into production-ready software.
-
-[](https://badge.fury.io/py/great-ai)
-[](https://pepy.tech/project/great-ai)
-[](https://hub.docker.com/repository/docker/schmelczera/great-ai)
-[](https://github.com/schmelczer/great-ai/actions/workflows/test.yml)
-[](https://sonar.scoutinscience.com/dashboard?id=great-ai)
-[](https://sonar.scoutinscience.com/dashboard?id=great-ai)
-
-Applying AI is becoming increasingly more accessible, but many case studies have shown that these applications are often deployed poorly. This may lead to suboptimal performance and to introducing unintended biases. GreatAI helps fix this by allowing you to easily transform your prototype AI code into production-ready software.
-
-## Example
-
-```sh
-pip install great-ai
-```
-
-Create a new file called `demo.py`
-
-```python
-from great_ai import GreatAI
-
-@GreatAI.create
-def greeter(name: str) -> str:
- return f"Hello {name}!"
-```
-
-Start it by executing `great-ai demo.py`, and find the dashboard at [http://localhost:6060](http://localhost:6060/dashboard).
-
-
-
-That's it. Your GreatAI service is _nearly_ ready for production use. Many of the [SE4ML best practices](https://se-ml.github.io) are configured and implemented automatically (of course, these can be customised as well).
-
-[Check out the full documentation here](https://great-ai.scoutinscience.com).
-
-## Why is this GREAT?
-
-
-
-GreatAI fits between the prototype and deployment phases of your AI development lifecycle. This is highlighted in blue in the diagram. Here, several best practices can be automatically implemented, aiming to achieve the following attributes:
-
-- **G**eneral: use any Python library without restriction
-- **R**obust: have error-handling and well-tested utilities out-of-the-box
-- **E**nd-to-end: utilise end-to-end feedback as a built-in, first-class concept
-- **A**utomated: focus only on what actually requires your attention
-- **T**rustworthy: deploy models that you and society can confidently trust
-
-## Why GreatAI?
-
-There are other existing solutions aiming to facilitate this phase. [Amazon SageMaker](https://aws.amazon.com/sagemaker) and [Seldon Core](https://www.seldon.io/solutions/open-source-projects/core) provide the most comprehensive suite of features. If you have the opportunity to use them, do that because they're great.
-
-However, [research indicates](https://great-ai.scoutinscience.com) that professionals rarely use them. This may be due to their inherent setup and operational complexity. **GreatAI is designed to be as simple to use as possible.** Its straightforward, high-level API and sensible default configuration make it easy to start using. Despite its relative simplicity over Seldon Core, it still implements many of the [SE4ML best practices](https://se-ml.github.io), and thus, can meaningfully improve your deployment without requiring prohibitively great effort.
-
-## [Learn more](https://great-ai.scoutinscience.com)
-
-[Check out the full documentation here](https://great-ai.scoutinscience.com).
-
-## Find `great-ai` on [PyPI](https://pypi.org/project/great-ai/)
-
-```sh
-pip install great-ai
-```
-
-## Find `great-ai` on [DockerHub](https://hub.docker.com/repository/docker/schmelczera/great-ai)
-
-```sh
-docker run -p6060:6060 schmelczera/great-ai
-```
-
-## Contribute
-
-Contributions are welcome.
-
-### Install for development
-
-```sh
-python3 -m venv --copies .env
-source .env/bin/activate
-pip install --upgrade flit pip
-flit install --symlink
-```
-
-### Develop
-
-```sh
-scripts/format-python.sh great_ai docs tests
-```
-
-> Format code.
-
-```sh
-python3 -m pytest --doctest-modules --asyncio-mode=strict .
-```
-
-> Run tests.
-
-```sh
-mkdocs serve
-```
-
-> Serve documentation.
diff --git a/assets/_mkdocstrings.css b/assets/_mkdocstrings.css
new file mode 100644
index 0000000..a65078d
--- /dev/null
+++ b/assets/_mkdocstrings.css
@@ -0,0 +1,36 @@
+
+/* Don't capitalize names. */
+h5.doc-heading {
+ text-transform: none !important;
+}
+
+/* Avoid breaking parameters name, etc. in table cells. */
+.doc-contents td code {
+ word-break: normal !important;
+}
+
+/* For pieces of Markdown rendered in table cells. */
+.doc-contents td p {
+ margin-top: 0 !important;
+ margin-bottom: 0 !important;
+}
+
+/* Max width for docstring sections tables. */
+.doc .md-typeset__table,
+.doc .md-typeset__table table {
+ display: table !important;
+ width: 100%;
+}
+.doc .md-typeset__table tr {
+ display: table-row;
+}
+
+/* Avoid line breaks in rendered fields. */
+.field-body p {
+ display: inline;
+}
+
+/* Defaults in Spacy table style. */
+.doc-param-default {
+ float: right;
+}
diff --git a/assets/images/favicon.png b/assets/images/favicon.png
new file mode 100644
index 0000000..1cf13b9
Binary files /dev/null and b/assets/images/favicon.png differ
diff --git a/assets/javascripts/bundle.d6c3db9e.min.js b/assets/javascripts/bundle.d6c3db9e.min.js
new file mode 100644
index 0000000..a2ce00e
--- /dev/null
+++ b/assets/javascripts/bundle.d6c3db9e.min.js
@@ -0,0 +1,29 @@
+"use strict";(()=>{var aa=Object.create;var wr=Object.defineProperty;var sa=Object.getOwnPropertyDescriptor;var ca=Object.getOwnPropertyNames,kt=Object.getOwnPropertySymbols,fa=Object.getPrototypeOf,Er=Object.prototype.hasOwnProperty,fn=Object.prototype.propertyIsEnumerable;var cn=(e,t,r)=>t in e?wr(e,t,{enumerable:!0,configurable:!0,writable:!0,value:r}):e[t]=r,H=(e,t)=>{for(var r in t||(t={}))Er.call(t,r)&&cn(e,r,t[r]);if(kt)for(var r of kt(t))fn.call(t,r)&&cn(e,r,t[r]);return e};var un=(e,t)=>{var r={};for(var n in e)Er.call(e,n)&&t.indexOf(n)<0&&(r[n]=e[n]);if(e!=null&&kt)for(var n of kt(e))t.indexOf(n)<0&&fn.call(e,n)&&(r[n]=e[n]);return r};var yt=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports);var ua=(e,t,r,n)=>{if(t&&typeof t=="object"||typeof t=="function")for(let o of ca(t))!Er.call(e,o)&&o!==r&&wr(e,o,{get:()=>t[o],enumerable:!(n=sa(t,o))||n.enumerable});return e};var Ye=(e,t,r)=>(r=e!=null?aa(fa(e)):{},ua(t||!e||!e.__esModule?wr(r,"default",{value:e,enumerable:!0}):r,e));var ln=yt((Sr,pn)=>{(function(e,t){typeof Sr=="object"&&typeof pn!="undefined"?t():typeof define=="function"&&define.amd?define(t):t()})(Sr,function(){"use strict";function e(r){var n=!0,o=!1,i=null,s={text:!0,search:!0,url:!0,tel:!0,email:!0,password:!0,number:!0,date:!0,month:!0,week:!0,time:!0,datetime:!0,"datetime-local":!0};function a(_){return!!(_&&_!==document&&_.nodeName!=="HTML"&&_.nodeName!=="BODY"&&"classList"in _&&"contains"in _.classList)}function c(_){var We=_.type,Fe=_.tagName;return!!(Fe==="INPUT"&&s[We]&&!_.readOnly||Fe==="TEXTAREA"&&!_.readOnly||_.isContentEditable)}function f(_){_.classList.contains("focus-visible")||(_.classList.add("focus-visible"),_.setAttribute("data-focus-visible-added",""))}function u(_){!_.hasAttribute("data-focus-visible-added")||(_.classList.remove("focus-visible"),_.removeAttribute("data-focus-visible-added"))}function p(_){_.metaKey||_.altKey||_.ctrlKey||(a(r.activeElement)&&f(r.activeElement),n=!0)}function l(_){n=!1}function d(_){!a(_.target)||(n||c(_.target))&&f(_.target)}function h(_){!a(_.target)||(_.target.classList.contains("focus-visible")||_.target.hasAttribute("data-focus-visible-added"))&&(o=!0,window.clearTimeout(i),i=window.setTimeout(function(){o=!1},100),u(_.target))}function b(_){document.visibilityState==="hidden"&&(o&&(n=!0),U())}function U(){document.addEventListener("mousemove",W),document.addEventListener("mousedown",W),document.addEventListener("mouseup",W),document.addEventListener("pointermove",W),document.addEventListener("pointerdown",W),document.addEventListener("pointerup",W),document.addEventListener("touchmove",W),document.addEventListener("touchstart",W),document.addEventListener("touchend",W)}function G(){document.removeEventListener("mousemove",W),document.removeEventListener("mousedown",W),document.removeEventListener("mouseup",W),document.removeEventListener("pointermove",W),document.removeEventListener("pointerdown",W),document.removeEventListener("pointerup",W),document.removeEventListener("touchmove",W),document.removeEventListener("touchstart",W),document.removeEventListener("touchend",W)}function W(_){_.target.nodeName&&_.target.nodeName.toLowerCase()==="html"||(n=!1,G())}document.addEventListener("keydown",p,!0),document.addEventListener("mousedown",l,!0),document.addEventListener("pointerdown",l,!0),document.addEventListener("touchstart",l,!0),document.addEventListener("visibilitychange",b,!0),U(),r.addEventListener("focus",d,!0),r.addEventListener("blur",h,!0),r.nodeType===Node.DOCUMENT_FRAGMENT_NODE&&r.host?r.host.setAttribute("data-js-focus-visible",""):r.nodeType===Node.DOCUMENT_NODE&&(document.documentElement.classList.add("js-focus-visible"),document.documentElement.setAttribute("data-js-focus-visible",""))}if(typeof window!="undefined"&&typeof document!="undefined"){window.applyFocusVisiblePolyfill=e;var t;try{t=new CustomEvent("focus-visible-polyfill-ready")}catch(r){t=document.createEvent("CustomEvent"),t.initCustomEvent("focus-visible-polyfill-ready",!1,!1,{})}window.dispatchEvent(t)}typeof document!="undefined"&&e(document)})});var mn=yt(Or=>{(function(e){var t=function(){try{return!!Symbol.iterator}catch(f){return!1}},r=t(),n=function(f){var u={next:function(){var p=f.shift();return{done:p===void 0,value:p}}};return r&&(u[Symbol.iterator]=function(){return u}),u},o=function(f){return encodeURIComponent(f).replace(/%20/g,"+")},i=function(f){return decodeURIComponent(String(f).replace(/\+/g," "))},s=function(){var f=function(p){Object.defineProperty(this,"_entries",{writable:!0,value:{}});var l=typeof p;if(l!=="undefined")if(l==="string")p!==""&&this._fromString(p);else if(p instanceof f){var d=this;p.forEach(function(G,W){d.append(W,G)})}else if(p!==null&&l==="object")if(Object.prototype.toString.call(p)==="[object Array]")for(var h=0;h\n {translation(\"search.result.term.missing\")}: {...missing}\n
\n }\n \n