Repository: huggingface/transformers
Pull request: 🌐 [i18n-KO] Translated `pipeline_gradio.md` to Korean

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# What does this PR do?

Translated the `pipeline_gradio.md` file of the documentation to Korean.
Thank you in advance for your review.

Part of https://github.com/huggingface/transformers/issues/20179

## Before reviewing
- [x] Check for missing / redundant translations (번역 누락/중복 검사)
- [x] Grammar Check (맞춤법 검사)
- [x] Review or Add new terms to glossary (용어 확인 및 추가)
- [x] Check Inline TOC (e.g. `[[lowercased-header]]`)
- [x] Check live-preview for gotchas (live-preview로 정상작동 확인)

## Who can review? (Initial)

<!-- 1. 위 체크가 모두 완료된 뒤에만 KREW 팀원들에게 리뷰를 요청하는 아래 주석을 노출해주세요!-->
May you please review this PR?
@4N3MONE, @yijun-lee, @jungnerd , @harheem

## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
- [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link
      to it if that's the case.
- [ ] Did you make sure to update the documentation with your changes? Here are the
      [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and
      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests?

## Who can review? (Final)

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@stevhliu May you please review this PR?

Changed files:
filename: docs/source/ko/_toctree.yml
patch: @@ -50,8 +50,8 @@
   - sections:
     - local: pipeline_tutorial
       title: Pipeline으로 추론하기
-    - local: in_translation
-      title: (번역중) Machine learning apps
+    - local: pipeline_gradio
+      title: 머신러닝 앱
     - local: pipeline_webserver
       title: 추론 웹 서버를 위한 파이프라인
     - local: add_new_pipeline

filename: docs/source/ko/pipeline_gradio.md
patch: @@ -0,0 +1,52 @@
+<!--Copyright 2024 The HuggingFace Team. All rights reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
+the License. You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
+an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
+specific language governing permissions and limitations under the License.
+
+⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
+rendered properly in your Markdown viewer.
+
+-->
+
+# 머신러닝 앱 [[machine-learning-apps]]
+
+머신러닝 앱을 빠르고 쉽게 구축하고 공유할 수 있는 라이브러리인 [Gradio](https://www.gradio.app/)는 [`Pipeline`]과 통합되어 추론을 위한 간단한 인터페이스를 빠르게 생성할 수 있습니다.
+
+시작하기 전에 Gradio가 설치되어 있는지 확인하세요.
+
+```py
+!pip install gradio
+```
+
+원하는 작업에 맞는 pipeline을 생성한 다음, Gradio의 [Interface.from_pipeline](https://www.gradio.app/docs/gradio/interface#interface-from_pipeline) 함수에 전달하여 인터페이스를 만드세요. Gradio는 [`Pipeline`]에 맞는 입력 및 출력 컴포넌트를 자동으로 결정합니다.
+
+[launch](https://www.gradio.app/main/docs/gradio/blocks#blocks-launch)를 추가하여 웹 서버를 생성하고 앱을 시작하세요.
+
+```py
+from transformers import pipeline
+import gradio as gr
+
+pipeline = pipeline("image-classification", model="google/vit-base-patch16-224")
+gr.Interface.from_pipeline(pipeline).launch()
+```
+
+웹 앱은 기본적으로 로컬 서버에서 실행됩니다. 다른 사용자와 앱을 공유하려면 [launch](https://www.gradio.app/main/docs/gradio/blocks#blocks-launch)에서 `share=True`로 설정하여 임시 공개 링크를 생성하세요. 더 지속적인 솔루션을 원한다면 Hugging Face [Spaces](https://hf.co/spaces)에서 앱을 호스팅하세요.
+
+```py
+gr.Interface.from_pipeline(pipeline).launch(share=True)
+```
+
+아래 Space는 위 코드를 사용하여 생성되었으며, Spaces에서 호스팅됩니다.
+
+<iframe
+	src="https://stevhliu-gradio-pipeline-demo.hf.space"
+	frameborder="0"
+	width="850"
+	height="850"
+></iframe>