Jina AI Engineering All Hands: Jina + Streamlit = project with 30 lines of code

EAH Organizer - Jina AI
Jina AI is the most advanced MLOps platform for multimodal AI. Build neural search, creative AI, and multimodal data services on the cloud at scale. 🙌

In this episode of EAH:
Community member Marco Franzon, a software developer and IT enthusiast, will share his experience with Jina and Streamlit and give a talk on "Jina + Streamlit = project with 30 lines of code".

Speaker's Bio:
I'm Marco Franzon, a Software Developer and DevOps at eXact lab, an IT company in Italy. Coding is my work but very often also my hobby. Sometimes, in my free time, I work on side projects and I like to share them with the dev/DevOps community on Twitter (@mfranzon) and LinkedIn, as well as on my blog (kubetips.cloud) I feed with some hints about Docker/Kubernetes.
Furthermore, running and swimming are my passions but also cooking. I'm not an expert but I know how to prepare good meals, trust me;)

Talk's Description:
I am continuously looking for new tools to create my projects or PoC more efficiently and quickly. One reason is probably my laziness, but also I love to see my ideas come real as soon as possible. This gives me the possibility to test and show it without spending too much time. In this talk I tell you how I realized an end-to-end project in a couple of hours and with just 30 lines of code, using Jina APIs for the backend and Streamlit for the frontend.

🌐 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲 𝘄𝗲𝗯𝗶𝗻𝗮𝗿: https://jina-ai.zoom.us/j/89033035017
📺 𝗦𝘁𝗿𝗲𝗮𝗺 𝗼𝗻 𝗬𝗼𝘂𝗧𝘂𝗯𝗲: https://www.youtube.com/c/JinaAI/

𝗔𝗯𝗼𝘂𝘁 𝗝𝗶𝗻𝗮
Universal

• Build applications that deliver fresh insights from multiple data types such as text, image, audio, video, 3D mesh, PDF with Jina AI's DocArray.
• Support all mainstream deep learning frameworks.
• Polyglot gateway that supports gRPC, Websockets, HTTP, GraphQL protocols with TLS.

Performance

• Intuitive design pattern for high-performance microservices.
• Scaling at ease: set replicas, sharding in one line.
• Duplex streaming between client and server.
• Async and non-blocking data processing over dynamic flows.

Cloud-native

• Seamless Docker container integration: sharing, exploring, sandboxing, versioning and dependency control via Jina Hub.
• Fast deployment to Kubernetes, Docker Compose and Jina Cloud.
• Full observability via Prometheus and Grafana.

Ecosystem

• Improved engineering efficiency thanks to the Jina AI ecosystem, so you can focus on innovating with the data applications you build.