Streamlit 入門｜npaka「Streamlitã€ã®ä½¿ã„ã¯ã˜ã‚方をã¾ã¨ã‚ã¾ã—ãŸã€‚ 1. Streamlit「Streamlitã€ã¯ã€æ©Ÿæ¢°å¦ç¿’ãŠã‚ˆã³ãƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚¨ãƒ³ã‚¹ã®ãŸã‚ã®Webアプリケーションフレームを簡å˜ã«ä½œæˆã—ã¦å…±æœ‰ã§ãã‚‹Pythonライブラリã§ã™ã€‚ 2. HelloWorldã®ä½œæˆHelloWorldã®ä½œæˆæ‰‹é †ã¯ã€æ¬¡ã®ã¨ãŠã‚Šã§ã™ã€‚ (1) Pythonã®ä»®æƒ³ç’°å¢ƒã®æº–備。 (2) パッケージã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã€‚ $ pip install streamlit(3) helloworld.pyã®ä½œæˆã€‚ ・helloworld.py import streamlit as st st.text("Hello World!")(4) helloworld.pyã®å®Ÿè¡Œã€‚ $ streamlit run helloworld.pyブラウザãŒè‡ªå‹•çš„ã«é–‹ã„ã¦ã€WebアプリケーションãŒè¡¨ç¤ºã•ã‚Œã¾ã™ã€‚ 3. 風船を飛ã°ã™ãƒœã‚¿ãƒ³ã®ä½œæˆã‚
[streamlit]Pythonã§æ©Ÿæ¢°å¦ç¿’アプリを作ã£ã¦ã¿ã‚ˆã†.vol01![[streamlit]Pythonã§æ©Ÿæ¢°å¦ç¿’アプリを作ã£ã¦ã¿ã‚ˆã†.vol01](https://cdn-ak-scissors.b.st-hatena.com/image/square/494e9204e72fcabca2d536652597b5bb36871eb0/height=288;version=1;width=512/https%3A%2F%2Fres.cloudinary.com%2Fzenn%2Fimage%2Fupload%2Fs--mhW0xTeX--%2Fc_fit%252Cg_north_west%252Cl_text%3Anotosansjp-medium.otf_55%3A%25255Bstreamlit%25255DPython%2525E3%252581%2525A7%2525E6%2525A9%25259F%2525E6%2525A2%2525B0%2525E5%2525AD%2525A6%2525E7%2525BF%252592%2525E3%252582%2525A2%2525E3%252583%252597%2525E3%252583%2525AA%2525E3%252582%252592%2525E4%2525BD%25259C%2525E3%252581%2525A3%2525E3%252581%2525A6%2525E3%252581%2525BF%2525E3%252582%252588%2525E3%252581%252586.vol01%252Cw_1010%252Cx_90%252Cy_100%2Fg_south_west%252Cl_text%3Anotosansjp-medium.otf_37%3A%2525E3%252581%2525BE%2525E3%252581%2525A3%2525E3%252581%2525A4%2525E3%252582%252593%252540%2525E3%252583%252587%2525E3%252583%2525BC%2525E3%252582%2525BF%2525E3%252582%2525B5%2525E3%252582%2525A4%2525E3%252582%2525A8%2525E3%252583%2525B3%2525E3%252582%2525B9%252Cx_203%252Cy_121%2Fg_south_west%252Ch_90%252Cl_fetch%3AaHR0cHM6Ly9saDMuZ29vZ2xldXNlcmNvbnRlbnQuY29tL2EtL0FGZFp1Y3BZVmNnRWpEa3pWQUVqUVB5V0lCRENjRWxfbnFjV1JWSzktZ3hwPXM5Ni1j%252Cr_max%252Cw_90%252Cx_87%252Cy_95%2Fv1627283836%2Fdefault%2Fog-base-w1200-v2.png)
実践Streamlit & Flask - AIプãƒã‚¸ã‚§ã‚¯ãƒˆã‚’ã„ã„æ„Ÿã˜ã«ã™ã‚‹æŠ€è¡“ / Service development with Streamlit and Flask
Hosting your Models and Datasets on Hugging Face Spaces using Streamlit
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