How to create a no-code AI app?
Learn how to integrate pre-trained models in bubble.io efficiently.
Ever wondered, can bubble.io integrate Deep Learning models in its applications, as Twitter and Alibaba do? If so, you are in the right place. Bubble.io is a no-code/low code platform, which integrates another such no code low code tool called “peltarion” to add deep learning models to its applications. Let’s dive into peltarion first.
Intro to peltarion
Peltarion is an AI platform which allows users to build their own learning models from scratch or they can use the pre-built ones and can customize them according to their needs. The best part is that you don’t need to code.
Using peltarion is pretty easy. It consists of the following steps
- Sign Up
- Create Project
- Data Import
- Inspect and build
- Train and Evaluate
Like any other online platform, you first need to sign up to peltarion and start your free trial of 4 weeks. You can subscribe later.
After signing up, you are redirected to here.
You can directly create a project from here by selecting one of the algorithms or you can create your own by clicking on “start custom project”.
Once you create a project you now need data for it.
To train a model we need data. There are two ways you can get that
You can get your data directly from peltarion too, if you created a project using the first method mentioned above peltarion provides you with a dataset already imported.
If you want to upload your own dataset that you created or downloaded from sources like “kaggle”, you can import those into your project too.
Here is an overall view of all the datasets you have in your account.
Inspect and Build
Once you have imported your data, it’s time to do some modelling to do that simply click on “use in the new experiment”
You name your experiment and decide what dataset to use.
what would be the Input/Output for the model.
Once you have created the experiment you can customize the build or leave it as is since peltarion shows you the best options for the built model.
Congratulations, you now have a deep learning model read for training.
Train and Evaluate
Time to Train our model. After you are done satisfied with the model setting click on the button “Run” on the top right corner
Intro to Sentiment analysis
Peltarion with bubble
Link to app
Looking to build something?
Chat with our team to see what we can do