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The issue is running the model. Exl2 is part of the ExllamaV2 library, but to run a model, a user needs an API server. The only option out there was using text-generation-webui (TGW), a program that bundled every loader out there into a Gradio webui. Gradio is a common “building-block” UI framework for python development and is often used for AI applications. This setup was good for a while, until it wasn’t. - Source: dev.to / 2 months ago
Exciting! I'm surprised to see nobody has mentioned gradio yet. It seems to sit in the same niche as streamlit and mesop. https://gradio.app/. - Source: Hacker News / 3 months ago
We can quickly leverage our python knowledge to implement and deploy a text summarization chatbot, using pretrained AI models and the frontend framework I already described several times, gradio. - Source: dev.to / 4 months ago
Current version of the "AI battleground" is super shit, this is largely because I picked the wrong framework to build it (gradio.app -- it's good for prototyping but terrible for production, as I've learned). The game-plan is to bring this in-app over the next 2 weeks. Latency will be improved and UX should be a lot better. Bear with us, lots of exciting stuff in the pipeline (audio for ultra, new way for us to... Source: over 1 year ago
We've been building devtools for years now. We're really passionate about the field. The most recent thing we built is https://usedevbook.com. The goal was to build a simple framework/UI for companies to demo their APIs. Something like https://gradio.app but for API companies. It's been used for example by Prisma - we helped them build their playground with it - https://playground.prisma.io/ Our new project - e2b... - Source: Hacker News / over 1 year ago
I assume GP is referring to frameworks like Gradio (https://gradio.app/) and to a lesser extent Streamlit. Existing web UI frameworks for Python are somewhat opinionated around particular use cases, of which AI/ML is a prominent one. - Source: Hacker News / over 1 year ago
For making the UI I would recommend that you check out Gradio, it's a fantastic library that allows you to make UI for your ml projects _^. Source: over 1 year ago
But there is an even easier way to use your model than to implement your own Python API. We can use Gradio and Hugging Face to easily create an API and use our model. For that, we need to write a function that will tell Gradio how to use our model. - Source: dev.to / over 1 year ago
I tried doing this in the hopes of being able to host on gradio.app but it did not work for me:. Source: over 1 year ago
I can't understand how this will improve the work. I see the value of having python instead of sheets formulas for python developers, but developers would work on totally different toolsets (like Jupyter notebook, as you mentioned), or something like StreamIt or https://gradio.app/ This would be useless for spreadsheet users (those who use sheet formulas) as they have to learn python. I'm not in the target... - Source: Hacker News / over 1 year ago
Gradio is probably the most similar alternative to Streamlit on this list. Like Streamlit, Gradio is a Python library for turning datasets and machine learning models into interactive web UIs. The main difference is that Gradio is designed more for machine learning demos whereas Streamlit is designed for creating data dashboards. - Source: dev.to / over 1 year ago
The reddit announcement only says they are working on a new UI. I feel like people are expecting the website to be something similar to CAI but what they are actually working on is a proprietary version of https://gradio.app/ interface. Source: over 1 year ago
Oh and I've had to stick with automatic1111 (remember I was telling you about InvokeAI) for the time being because of technical nuances with the cloud GPU provider I'm using. Automatic1111 is a gradio app which is required to be able to access the webui (gradio does some reverse-proxy thing when it's in "share" mode to generate a publicly accessible URL) and I have to rely on this because there's no other way into... Source: over 1 year ago
This. Streamlit https://streamlit.io/ or gradio https://gradio.app/ would be my recommendations as well. It does not sound like your knowledge Python, CSS and HTML is anywhere deep enough to solve this using Flask, Jinja and the like. Hope this helps :). Source: over 1 year ago
If you're just going to demo something, then Gradio (https://gradio.app/) is the simplest to start with. Source: over 1 year ago
I recommend checking out https://gradio.app - this makes deploying apps and apis that serve your models really easy. Source: almost 2 years ago
You need a computer that can run it, then install it on that computer, and run the webUI with the --share argument. It will spit out a gradio.app URL that you can then share with your friends. Source: almost 2 years ago
It is possible to set the seed for the dreambooth colab? I mean the seed for the prompt generations in gradio.app, not for the training. Source: almost 2 years ago
I have found tools like [Gradio](https://gradio.app/) which makes friendly web interfaces to demonstrate the ML models but how could I embed all this in my own project website? Or [Gradient](https://docs.paperspace.com/gradient/) with which I could connect the model to one of their free instances to run it, but would this be possible? Would it be too complicated to do it? Source: almost 2 years ago
It's a bit more complicated but to simplify it, enabling the share option tells your local install of gradio to communicate with the gradio.app service. it acts as a proxy between you and the rest of the internet, so anyone with that link on the internet will be able to talk to gradio.app and route their experience (UI/prompts/results) to your local machine/GPU. it bypasses all sorts of firewall problems (port... Source: about 2 years ago
I wanted to make it easier for other folks to do the same, so I open sourced the code to make the video above. It uses Hugging Face diffusers and Gradio in Google Colab. Source: about 2 years ago
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