Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

All this through a new Python library called daggr!🔥 Build AI workflows that can connect ML models, custom Python functions, and AI apps together🤯

Gradio

57,597 subscribers

19,232 views • 8 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

2 Comments

Gradio8 months ago

daggr : > generate visual canvas for your workflow, > inspect intermediate outputs, > rerun any step number of times, > preserve state > great for complex and long-running workflows CHECK OUT👇

zamora8 months ago

real build hours

Related Videos

🚀 BIG NEWS: We just shipped @platformatic/python to help you run Python ASGI apps INSIDE your Node.js process! This changes everything for AI/ML + Node.js apps 🧵

🚀 BIG NEWS: We just shipped @platformatic/python to help you run Python ASGI apps INSIDE your Node.js process! This changes everything for AI/ML + Node.js apps 🧵

Matteo Collina

25,746 views • 1 year ago

Introducing daggr: a new way of building apps 🔥 daggr combines best of all worlds, mix-and-match model endpoints, Gradio apps, functions programmatically, inspect the pipeline visually 🙌🏻 Try it out, build and share to get featured!

Introducing daggr: a new way of building apps 🔥 daggr combines best of all worlds, mix-and-match model endpoints, Gradio apps, functions programmatically, inspect the pipeline visually 🙌🏻 Try it out, build and share to get featured!

Hugging Face

102,940 views • 8 months ago

Your app doesn’t need to be an AI agent to hire one. With the TermiX SDK, apps can discover agent services, place orders, receive deliverables and settle onchain—all within their own workflows. 🔹 TypeScript, Python & Go 🔹 Escrow and settlement built in 🔹 Sign transactions yourself or connect a Signer AI agents connect through Skills. Apps connect through the SDK. One network: 🎬 This video was created by a video Agent on TermiX . Hire it here:

Your app doesn’t need to be an AI agent to hire one. With the TermiX SDK, apps can discover agent services, place orders, receive deliverables and settle onchain—all within their own workflows. 🔹 TypeScript, Python & Go 🔹 Escrow and settlement built in 🔹 Sign transactions yourself or connect a Signer AI agents connect through Skills. Apps connect through the SDK. One network: 🎬 This video was created by a video Agent on TermiX . Hire it here:

TermiX

73,207 views • 14 days ago

Mojo🔥 combines the usability of Python with the performance of C, unlocking unparalleled programmability of AI hardware and extensibility of AI models. Also, it's up to 35000x faster than Python 🤯 and … deploys 🏎

Mojo🔥 combines the usability of Python with the performance of C, unlocking unparalleled programmability of AI hardware and extensibility of AI models. Also, it's up to 35000x faster than Python 🤯 and … deploys 🏎

Modular

124,558 views • 3 years ago

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Data Science Agents): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, May 21st, I'm sharing one of my best AI Projects: AI Customer Segmentation Agent with Python Register here (570+ registered):

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Data Science Agents): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, May 21st, I'm sharing one of my best AI Projects: AI Customer Segmentation Agent with Python Register here (570+ registered):

Matt Dancho (Business Science)

35,452 views • 1 year ago

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Army of Copilots): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, January 29th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (1570+ registered):

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Army of Copilots): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, January 29th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (1570+ registered):

Matt Dancho (Business Science)

242,084 views • 1 year ago

Introducing ✨Retool AI✨— features that pull the starting line forward for building custom AI apps, workflows, and chatbots. Assemble AI apps, securely connect any LLM to internal data, and spin up a managed vector db in minutes. Get started for free:

Introducing ✨Retool AI✨— features that pull the starting line forward for building custom AI apps, workflows, and chatbots. Assemble AI apps, securely connect any LLM to internal data, and spin up a managed vector db in minutes. Get started for free:

Retool

62,351 views • 3 years ago

Most teams build backends by stitching together five or six different systems. Motia shows how simple it can be when one primitive powers everything. APIs, events, background jobs, workflows, AI agents, and real time streams all built with Steps. Works in JavaScript, TypeScript, and Python.

Most teams build backends by stitching together five or six different systems. Motia shows how simple it can be when one primitive powers everything. APIs, events, background jobs, workflows, AI agents, and real time streams all built with Steps. Works in JavaScript, TypeScript, and Python.

GitHub Projects Community

13,121 views • 10 months ago

See what you can do with the new OpenMV N6 and OpenMV AE3! Python Programmable AI Cameras you can build anything with - now on Kickstarter:

See what you can do with the new OpenMV N6 and OpenMV AE3! Python Programmable AI Cameras you can build anything with - now on Kickstarter:

OpenMV

2,335,434 views • 1 year ago

When Python and blockchain come together, the possibilities are endless. Start building blockchain apps in Python—a language you know. #OnlyOnAlgorand

When Python and blockchain come together, the possibilities are endless. Start building blockchain apps in Python—a language you know. #OnlyOnAlgorand

Algorand Foundation

44,383 views • 2 years ago

Drive-thru voice AI that handles interruptions, noise, and natural conversations in Python. Ready? Let's build it ↓

Drive-thru voice AI that handles interruptions, noise, and natural conversations in Python. Ready? Let's build it ↓

Stream

614,977 views • 9 months ago

Ever seen an AI solve Cloudflare CAPTCHA by literally moving the mouse and clicking through the browser? That’s now possible for free with Scrapling, a Python library that lets you automate web scraping at a whole new level. Repo:

Ever seen an AI solve Cloudflare CAPTCHA by literally moving the mouse and clicking through the browser? That’s now possible for free with Scrapling, a Python library that lets you automate web scraping at a whole new level. Repo:

GitHub Projects Community

69,601 views • 1 year ago

Learn how to build GPT-3 AI apps with OpenAI and @Vercel edge functions. In this video, I explain how I built and how you can build your own GPT-3 powered apps:

Learn how to build GPT-3 AI apps with OpenAI and @Vercel edge functions. In this video, I explain how I built and how you can build your own GPT-3 powered apps:

Hassan

222,283 views • 3 years ago

Today, we’re excited to announce and launch Reflex Cloud on Product Hunt! Reflex is an open-source framework for building and deploying data and AI web apps in pure Python. Frontend and Backend in Pure Python: No JavaScript required! With Reflex Cloud, you can now deploy, manage, and scale your Python apps with just a single command! If you're a Python developer, an upvote or a share would mean a lot to us :)💪❤️

Today, we’re excited to announce and launch Reflex Cloud on Product Hunt! Reflex is an open-source framework for building and deploying data and AI web apps in pure Python. Frontend and Backend in Pure Python: No JavaScript required! With Reflex Cloud, you can now deploy, manage, and scale your Python apps with just a single command! If you're a Python developer, an upvote or a share would mean a lot to us :)💪❤️

Reflex

55,100 views • 1 year ago

Most "AI coding tools" need 5 files, a build config, and a prayer. Gradio 6's gr.HTML: one Python file. Frontend, backend, state—done 😎 Generate with Claude or any frontier LLM in one shot. Deploy in seconds. This is what vibe coding is supposed to be! Full breakdown👇️

Most "AI coding tools" need 5 files, a build config, and a prayer. Gradio 6's gr.HTML: one Python file. Frontend, backend, state—done 😎 Generate with Claude or any frontier LLM in one shot. Deploy in seconds. This is what vibe coding is supposed to be! Full breakdown👇️

Gradio

22,392 views • 8 months ago

Build AI Agents with RAG without writing a single line of Python Code. 100% Opensource and Nocode.

Build AI Agents with RAG without writing a single line of Python Code. 100% Opensource and Nocode.

Unwind AI

70,756 views • 1 year ago

Introducing Workflows, a new way to build your own tools inside of Runway. Now you can create your own custom node-based workflows chaining together multiple models, modalities and intermediary steps for even more control of your generations. Build the Workflows that work for you. Available now for our Creative Partners and Enterprise customers. Coming soon to all plans.

Introducing Workflows, a new way to build your own tools inside of Runway. Now you can create your own custom node-based workflows chaining together multiple models, modalities and intermediary steps for even more control of your generations. Build the Workflows that work for you. Available now for our Creative Partners and Enterprise customers. Coming soon to all plans.

Runway

227,178 views • 1 year ago

Learn how to build an AI agent in 175 lines of Python.

Learn how to build an AI agent in 175 lines of Python.

Lee Robinson

72,218 views • 1 year ago