Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
実践Streamlit & Flask - AIプロジェクトをいい感じにする技術(予告編) /...
Search
Shinichi Nakagawa
PRO
September 22, 2021
Programming
600
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
実践Streamlit & Flask - AIプロジェクトをいい感じにする技術(予告編) / Web application development starting with Streamlit
https://2021.pycon.jp/
の発表...のプロトタイプ
#Streamlit #WebDevelopment #DataScience
Shinichi Nakagawa
PRO
September 22, 2021
More Decks by Shinichi Nakagawa
See All by Shinichi Nakagawa
野球解説AI Agentを開発してみた - 2026/02/27 LayerX社内LT会資料
shinyorke
PRO
0
530
WBCの解説は生成AIにやらせよう - 生成AIで野球解説者AI Agentを実現する / Baseball Commentator AI Agent for Gemini
shinyorke
PRO
1
510
自らを強いエンジニアにするための3つの習慣 2025/ Fitter happier more productive
shinyorke
PRO
0
310
生成AI時代におけるSREの進化とキャリア戦略 / Building an Embedded SRE team and my career
shinyorke
PRO
0
180
生成AIを活用した野球データ分析 - メジャーリーグ編 / Baseball Analytics for Gen AI
shinyorke
PRO
1
6.5k
ゼロから始めるSREの事業貢献 - 生成AI時代のSRE成長戦略と実践 / Starting SRE from Day One
shinyorke
PRO
3
8.4k
AI・LLM事業部のSREとタスクの自動運転
shinyorke
PRO
0
580
実践Dash - 手を抜きながら本気で作るデータApplicationの基本と応用 / Dash for Python and Baseball
shinyorke
PRO
2
4.9k
Terraform, GitHub Actions, Cloud Buildでデータ基盤をProvisioningする / Data Platform provisioning for Google Cloud and Terraform
shinyorke
PRO
2
3.8k
Other Decks in Programming
See All in Programming
Detecting Compromised CI with eBPF and Cilium Tetragon
lizrice
0
210
AWS CDK を「作」ってみた 〜フルスクラッチで見えた CDK の裏側〜 / aws-cdk-from-scratch
gotok365
3
2.8k
Go言語とトイモデルで学ぶTransformerの気持ち / fukuokago23-transformer
monochromegane
0
180
2年かけて Deno に DOMMatrix を実装した話 / How I implemented DOMMatrix in Deno over two years
petamoriken
0
210
5分で問診!Composer セキュリティ健康診断
codmoninc
0
1.1k
Japan Community Day at Kubecon + CloudNativeCon Japan 2026: Learning Container Privilege Control by Building My Own Low-Level Container Runtime
ternbusty
1
160
Built Our Own Background Agent at LayerX
layerx
PRO
10
5.7k
Go 1.27 における memory allocation の高速化
andpad
0
250
Building a Meta Ray-Ban display app
akkeylab
0
170
Android CLI
fornewid
0
220
生成AI導入の「期待外れ」を乗り越える ー 開発フロー改革が目指す、真の組織変革
starfish719
0
4.8k
Claude CodeとAgentCore Gatewayを繋ぐ際の認証認可 / Authentication and authorization when connecting Claude Code with AgentCore Gateway
har1101
2
320
Featured
See All Featured
The #1 spot is gone: here's how to win anyway
tamaranovitovic
3
1.1k
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1.3k
Utilizing Notion as your number one productivity tool
mfonobong
4
550
4 Signs Your Business is Dying
shpigford
187
23k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.4k
HDC tutorial
michielstock
2
790
Believing is Seeing
oripsolob
1
190
Mozcon NYC 2025: Stop Losing SEO Traffic
samtorres
1
490
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
410
How to optimise 3,500 product descriptions for ecommerce in one day using ChatGPT
katarinadahlin
PRO
2
3.8k
Transcript
ʲԾʳ࣮ફStreamlit & Flask Shinichi Nakagawa(@shinyorke) kawasaki.rb #100 9/22 ※PyCon JP
2021ͷนଧͪʢσϞVerʣͰ͢ AIϓϩδΣΫτΛPoC͔Βຊ൪·Ͱ͍͍ײ͡ʹணͤ͞ΔPythonicͳΓ͔ͨ
Who am I ?ʢ͓લ୭Αʣ • Shinichi Nakagawaʢத ৳Ұʣ • େͷSNSͰʮshinyorkeʢ͠ΜΑʔ͘ʣʯͱ໊͍ͬͯ·͢
• Software Engineer & Data ScientistʢؚΉ⽁ʣ • ʲݩʳJX௨৴ࣾγχΞΤϯδχΞ ※9݄·Ͱ͓ੈʹͳΓ·ͨ͠🙇&10݄͔ΒͲ͔͜ͷίϯαϧͷਓ • #Python #DataScience #Baseball⚾ #SABRmetrics #σʔλج൫
͜ͷ͓ • ͓ࣄͰʮAIͰ͍͍ײ͡ʹͯ͘͠Εʯʮ2ϲ݄ޙʹຊ൪ϓϩμΫτ͕ ඞཁͳΜʂʯͱ͔ݴΘΕͨ࣌ʹɺࢲshinyorke͕ΤϯδχΞͱͯ͠Կ Λ͔ͨ͠?ͱ͍͏࣮ʹج͍ͮͨޠͰ͢ • ϓϩτλΠϓΛͬͨࣾͰͷ֓೦ݕূʢPoCʣ͔Βɺຊ൪ͰಥવTV ๒ʹͿͪͨΔʢߴෛՙରࡦʣ·ͰԿΛ͔ͨ͠͠·͢ • ࠓճॖ൛ʢนଧͪ൛ʣͳͷͰͱΓ͋͑ͣPoCͷΛ
͓͠ͳ͕͖ • AIϓϩδΣΫτΛޭͤ͞ΔͨΊʹඞཁͳߟ͑ํͱελϯε • StreamlitΛͬͨരϓϩτλΠϐϯά • ʲTBDʳStreamlitͳϓϩτλΠϓΛݩʹFlaskͰຊ൪ΞϓϦ • ʲTBDʳͬͯΔͱศར͔͠Εͳ͍Tips. GCPͱ͔ը૾ੜͱ͔.
ʲTBDʳͷPyCon JP 2021ຊ൪Ͱొʢ͢Δ͔ʣ
AIϓϩδΣΫτʹඞཁͳߟ͑ํ is 🤔 • ػහʢAgileʣʹ, ಈ͘ͷϕʔεͰίϛϡχέʔγϣϯ • σʔλαΠΤϯςΟετͱΤϯδχΞͷҧ͍Λཧղ͢Δ ଞʹҰഋ͋Γͦ͏Ͱ͕͢ͻͱ·ͣ͜ͷ2͕ͭ͋Δͱ͍͍͔ͳ
Agileͳ։ൃ • ෆ࣮֬ੑ͕ߴ͍, AIɾػցֶशͳϓϩδΣΫτͦ͜ ʮಈ͘ιϑτΣΞʯΛݩʹ։ൃ͠Α͏ • PoCͱ͍͑, ͳΔ͘ຊ൪͕ΠϝʔδͰ͖Δಈ͘
ΞϓϦέʔγϣϯͰձ͢Δͷ͕͍͍ͱࢥ͏ʢೝࣝҧ͍ͷࢭʣ • Ұํ, खΛൈ͚ΔॴखΛൈ͖·͘Ζ͏ υΩϡϝϯτΛἧ͑Δͱ͔, σβΠϯ͑Δͱ͔etc…
ߟ͑ํΞδϟΠϧϚχϑΣετͦͷͷ ࢲͨͪɺιϑτΣΞ։ൃͷ࣮ફ ͋Δ͍࣮ફΛखॿ͚Λ͢Δ׆ಈΛ௨ͯ͡ɺ ΑΓΑ͍։ൃํ๏Λݟ͚ͭͩͦ͏ͱ͍ͯ͠Δɻ ͜ͷ׆ಈΛ௨ͯ͠ɺࢲͨͪҎԼͷՁʹࢸͬͨɻ ϓϩηεπʔϧΑΓݸਓͱରΛɺ แׅతͳυΩϡϝϯτΑΓಈ͘ιϑτΣΞΛɺ ܖަবΑΓސ٬ͱͷڠௐΛɺ ܭըʹै͏͜ͱΑΓมԽͷରԠΛɺ Ձͱ͢Δɻ͢ͳΘͪɺࠨهͷ͜ͱ͕ΒʹՁ͕͋Δ͜ͱΛ
ೝΊͳ͕Βɺࢲͨͪӈهͷ͜ͱ͕ΒʹΑΓՁΛ͓͘ɻ https://agilemanifesto.org/iso/ja/manifesto.html
ΤϯδχΞͱσʔλαΠΤϯςΟετͷҧ͍ • ϓϩμΫτΛ։ൃʢӡ༻ʣ͢ΔΤϯδχΞͱ AIͳࣄΛ͢ΔσʔλαΠΤϯςΟετಘҙෆಘҙ͕ҧ͏ • ྫ͑ΤϯδχΞόʔδϣϯཧɾςετɾCIΛΔ͕ σʔλαΠΤϯςΟετͰ͖Δਓ͍ΕͰ͖ͳ͍ਓ͍Δ
ʢͳ͓, ྆ํͰ͖ΔԽ͚গͰ͕͢ଘࡏ͢Δʣ • ྆ऀʹٻΊΒΕΔεΩϧηοτɾελϯεͥΜͥΜҧ͏ ಉ͡PythonΛಡΈॻ͖͢Δʹͯ͠Ձ؍͕શ͘ҟͳΔ
https://shinyorke.hatenablog.com/entry/ml-ops-and-engineering
Agile͔͍͍ͭײ͡ʹίϥϘͯ͠Δํ๏ • ΤϯδχΞσʔλαΠΤϯςΟετWebΞϓϦΛϕʔεʹ • Jupyterͱຊ֨తͳWebΞϓϦͷؒͷࢠΈ͍ͨͳଘࡏ • ͻͱ·ͣϒϥβͰݟͤΔఔͷ࠷ݶͷΞϓϦ • ࣮ݧίʔυͱϓϩμΫτίʔυͷҰ؏ੑ •
ίϛϡχέʔγϣϯ͕ൃੜ͢ΔॴͰςετ • PoCຊ൪ࣅͨΑ͏ͳߏͰͭ͘ΔʢՄೳͳݶΓʣ
Jupyterͱຊ֨తͳWebΞϓϦͷ ؒͷࢠΈ͍ͨͳଘࡏ ͦΕ͕Streamlit
StreamlitΛͬͨരϓϩτλΠϐϯά ࠓճʮΦΦλχαϯͷຊྥଧΛAI͕༧ଌ͢Δʯͱ͍͏ ࡶͳςʔϚͰհ͠·͢
͜ΜʹͪStreamlitɹ˞ຊ൪Ͱհ༧ఆ • ͻͱ·ͣಈ͔͢ɾݟͤΔ • ৭ʑͬͯΈΔʢformΛͭ͘ΔɾσʔλΛݟͤΔʣ • ΈΜͳʹ৮ͬͯΒ͏
ࠓͱΓ͋͑ͣσϞΛݟͤ·͢ https://twitter.com/shinyorke/status/1439933987120562181?s=20
ʲ༧ࠂʳPyCon JP 2021ຊ൪ͷ༰ • Streamlitͷݡ͍͍ํ. ։ൃ͔ΒνʔϜͷڞ༗ɾσϞ·Ͱ • Streamlit͔ΒFlaskFastAPIʹॻ͖͑ΔલʹΔ͖͜ͱ ςετͱ͔ϦϑΝΫλϦϯάӠʑʢҰ෦ϒϩάΛॻ͘༧ఆʣ
• Google App Engine͘͠Cloud RunʹΞϓϦΛσϓϩΠ ༗໊ͳTV൪ͷTV๒ʹͲ͏͔ͬͯ͑ͨͷͳ͠
2021/10/16 11:40ϓϨΠϘʔϧ⽁ https://2021.pycon.jp/ དྷͯͶ
ήʔϜηοτ⚾ ͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠. Shinichi Nakagawa(Twitter/Facebook/etc… @shinyorke)