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
Firefly - Deploying functions made easy
Search
Anand Chitipothu
July 10, 2017
Programming
800
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Firefly - Deploying functions made easy
Lightning talk given at EuroPython 2017
Anand Chitipothu
July 10, 2017
More Decks by Anand Chitipothu
See All by Anand Chitipothu
Machine Learning as a Service
anandology
0
220
DevOps for Data Science
anandology
0
110
Managing Machine Learning Models in Production - Strata Singapore 2017
anandology
0
720
Real World Challenges in Deploying Machine Learning Applications
anandology
0
430
Deploying ML apps in minutes
anandology
1
500
Recreational Programming
anandology
4
540
Managing Machine Learning Models in Production
anandology
1
690
Distributed Machine Learning - Challenges & Opportunities
anandology
0
310
Writing Beautiful Code - EuroPython 2017
anandology
3
1.4k
Other Decks in Programming
See All in Programming
Spec Driven Development | AI Summit Lisbon
danielsogl
PRO
0
190
ふつうのFeature Flag実践入門
irof
7
3.9k
Hunting Vulnerabilities in Symfony with LLMs
vinceamstoutz
0
540
代数的データ型って何が嬉しいの? #frontend_phpcon_do
kajitack
8
3.7k
Mujeres en SEO Summit 2026 - Greatest Disaster Hits en Web Performance
guaca
0
180
jQueryをバージョンアップする前に使いたいjQuery Migrate
matsuo_atsushi
0
490
「なぜそう決めたのか」を残し続ける仕組み ― Notion AI カスタムエージェント × Slack連携による設計判断の自動記録 - NIKKEI Tech Talk #47
niftycorp
PRO
0
170
生成AI時代にこそ効くGo | Why Go Works in the Age of Generative AI
mom0tomo
8
3.2k
「エンジニアインターン、どうやって取った?」準備のリアルを語るLT会 Progate BAR
akiomatic
0
130
Observability in Practice:Grafana 與 Edge Device SRE 的那些事
blueswen
0
160
メソッドのジェネリクスでGoの夢は広がるか? / Kyoto.go #65
utgwkk
3
770
Snowflake Summitでの新機能 CoCo / CoWork / snowflake-summit-2026-overall-what-new-coco
tatsuhiro
1
130
Featured
See All Featured
Code Review Best Practice
trishagee
74
20k
Breaking role norms: Why Content Design is so much more than writing copy - Taylor Woolridge
uxyall
0
320
Test your architecture with Archunit
thirion
1
2.3k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
9
1.4k
Designing Experiences People Love
moore
143
24k
Sam Torres - BigQuery for SEOs
techseoconnect
PRO
0
290
Tips & Tricks on How to Get Your First Job In Tech
honzajavorek
1
540
Unsuck your backbone
ammeep
672
58k
Being A Developer After 40
akosma
91
590k
How to build a perfect <img>
jonoalderson
1
5.6k
[RailsConf 2023] Rails as a piece of cake
palkan
59
6.7k
Ecommerce SEO: The Keys for Success Now & Beyond - #SERPConf2024
aleyda
1
2k
Transcript
Firefly Deploying functions made easy!
Who is speaking? Anand Chitipothu @anandology • building a data
science platform at @rorodata • advanced programming courses at @pipalacademy
The problem How to expose a function as an API
for others to use?
Why? • To use it in a different environment •
Loose coupling
Use cases • Deploy a machine learning model • preprocess
an image • live price check
Challenges • Requires writing a web application • What about
authentication? • How to do data validation? • How I need write a client library too?
Welcome to Firefly Deploying functions made easy!
Code Write your function: # sq.py def square(n): return n*n
Run Start web service: $ firefly sq.square [INFO] Starting gunicorn
19.7.1 [INFO] Listening at: http://127.0.0.1:8000 ...
Use And use it with a client. >>> from firefly.client
import Client >>> client = Client("http://127.0.0.1:8000") >>> client.square(n=4) 16
Behind the scenes, it is a RESTful API. $ curl
-d '{"n": 4}' http://127.0.0.1:8000/square 16 And supports any JSON-friendly datatype.
More practical example Deploying a machine learning model. # model.py
import pickle model = pickle.load('model.pkl') def predict(features): result = model.predict(features]) return int(result[0])
Run the server using: $ firefly model.predict ... And use
it in the client: >>> remote_model = Client("http://localhost:8080/") >>> remote_model.predict(features=[5.9, 3, 5.1, 1.8])) 2
Authentication Firefly has built-in support for autentication. $ firefly --token
abcd1234 sq.square ... The client must pass the same token to autenticate it. >>> client = Client("http://127.0.0.1:8000", auth_token="abcd1234") >>> client.square(n=4) 16
Upcoming Features... • supporting other input and output content-types in
addition to json. (for example, a function to resize an image) • validation using type annotations • caching support
It's open source! https://github.com/rorodata/firefly To install: pip install firefly-python
Questions? • https://firefly-python.readthedocs.io/ • https://github.com/rorodata/firefly