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2.4 KiB
2.4 KiB
머신러닝 앱 machine-learning-apps
머신러닝 앱을 빠르고 쉽게 구축하고 공유할 수 있는 라이브러리인 Gradio는 [Pipeline]과 통합되어 추론을 위한 간단한 인터페이스를 빠르게 생성할 수 있습니다.
시작하기 전에 Gradio가 설치되어 있는지 확인하세요.
!pip install gradio
원하는 작업에 맞는 pipeline을 생성한 다음, Gradio의 Interface.from_pipeline 함수에 전달하여 인터페이스를 만드세요. Gradio는 [Pipeline]에 맞는 입력 및 출력 컴포넌트를 자동으로 결정합니다.
launch를 추가하여 웹 서버를 생성하고 앱을 시작하세요.
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 launch에서 share=True로 설정하여 임시 공개 링크를 생성하세요. 더 지속적인 솔루션을 원한다면 Hugging Face Spaces에서 앱을 호스팅하세요.
gr.Interface.from_pipeline(pipeline).launch(share=True)
아래 Space는 위 코드를 사용하여 생성되었으며, Spaces에서 호스팅됩니다.