DEV Community: Arsen Ibragimov

Using Framer Motion + ReactJS to Create Smooth Animations for Song Lyrics and Chords Websites

Arsen Ibragimov — Fri, 14 Mar 2025 22:01:59 +0000

Hey there, fellow developers! 👋🏼 If you're a music enthusiast like me and love building web apps, you might have thought about creating a site for song lyrics and guitar chords. These kinds of sites can really shine with some smooth animations to enhance the user experience. Today, I’ll show you how to use Framer Motion with ReactJS to animate the appearance of song chords on a webpage. Let’s make those chords pop in a way that feels engaging and intuitive for musicians!

We’ll build a simple component to display the chords for the song Alye Parusa (a popular Russian rock song), and I’ll share a resource where you can grab the chords to test this out. Let’s dive in!

Why Animations Matter for Song Lyrics Sites

When users visit a site with song lyrics or chords, they’re often looking for a seamless experience—something that’s easy to read and visually appealing. Animations can:

Highlight chords as they appear, making it easier for users to follow along.
Create a modern, polished look that keeps users engaged.
Improve accessibility by guiding the user’s attention to key sections.

Framer Motion is a perfect fit here because it’s lightweight, easy to integrate with React, and offers smooth, physics-based animations.

Setting Up the Project

First, let’s set up a basic React project and install Framer Motion.

npx create-react-app song-chords-animation
cd song-chords-animation
npm install framer-motion

Start the development server:

npm start

Creating the Chords Component

Let’s create a component that displays the chords for "Alye Parusa". I found a great resource for the chords on Pesni.ru, which we’ll use as our example.

Here’s the basic structure of our component:

import React from "react";
import { motion } from "framer-motion";
import "./Chords.css";

const Chords = () => {
  const chordsData = [
    { line: "Dm", description: "Play softly for the intro" },
    { line: "G", description: "Switch with a light strum" },
    { line: "C", description: "Hold for two beats" },
    { line: "Am", description: "Transition smoothly" },
  ];

  return (
    <div className="chords-container">
      <h1>Alye Parusa Chords Animation</h1>
      <p>
        Let’s animate the chords for <em>Alye Parusa</em>! Check the full chord sheet{" "}
        <a href="https://pesni.ru/ru/raznye-pesni/alye-parusa-203" target="_blank" rel="noopener noreferrer">
          here
        </a>{" "}
        to follow along.
      </p>
      {chordsData.map((chord, index) => (
        <motion.div
          key={index}
          className="chord-card"
          initial={{ opacity: 0, y: 50 }}
          animate={{ opacity: 1, y: 0 }}
          transition={{ delay: index * 0.3, duration: 0.5 }}
        >
          <h3>{chord.line}</h3>
          <p>{chord.description}</p>
        </motion.div>
      ))}
    </div>
  );
};

export default Chords;

And here’s some basic CSS to style the component (Chords.css):

.chords-container {
  max-width: 600px;
  margin: 50px auto;
  text-align: center;
}

.chord-card {
  background: #f5f5f5;
  padding: 20px;
  margin: 10px 0;
  border-radius: 8px;
  box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1);
}

.chord-card h3 {
  margin: 0;
  font-size: 24px;
  color: #2c3e50;
}

.chord-card p {
  margin: 5px 0 0;
  color: #7f8c8d;
}

What’s Happening Here?

Framer Motion Magic: We’re using motion.div to animate each chord card. The initial state sets the starting position (opacity 0 and slightly below), while animate defines the final state (fully visible and in place).
Staggered Animation: The transition prop with delay: index * 0.3 ensures each card animates in sequence, creating a cascading effect.
Link to Chords: I’ve included a link to the Alye Parusa chords page so users can grab the full chord sheet if they want to play along.

Adding Hover Effects

Let’s make the cards more interactive by adding a hover effect with Framer Motion:

<motion.div
  key={index}
  className="chord-card"
  initial={{ opacity: 0, y: 50 }}
  animate={{ opacity: 1, y: 0 }}
  transition={{ delay: index * 0.3, duration: 0.5 }}
  whileHover={{ scale: 1.05, boxShadow: "0px 5px 15px rgba(0, 0, 0, 0.2)" }}
>
  <h3>{chord.line}</h3>
  <p>{chord.description}</p>
</motion.div>

The whileHover prop scales the card slightly and adds a shadow when the user hovers over it. It’s a subtle touch that makes the UI feel more dynamic.

Final Touches

To make this even more user-friendly, you could:

Add a button to toggle between chords and lyrics.
Include a sound effect or a small audio clip of the chord when the card animates (using the Web Audio API).
Style the cards differently based on the chord type (e.g., major chords in blue, minor in purple).

Why This Matters

Adding animations to a lyrics and chords site can significantly improve the user experience. For example, on sites like Pesni.ru, where I got the chords for Alye Parusa, users often want to quickly scan through sections. Animations help guide their focus and make the site feel more interactive.

Next Steps

Expand the Component: Add a feature to switch between different songs or sections (e.g., verse, chorus).
Responsive Design: Ensure the animations look great on mobile devices.
Share Your Work: If you build something cool with this, share it in the comments—I’d love to see it!

Let me know if you have questions or want to dive deeper into Framer Motion. Happy coding, and keep rocking those chords! 🎶

Predicted Outputs: The OpenAI Feature You Probably Missed

Arsen Ibragimov — Fri, 06 Dec 2024 11:37:56 +0000

OpenAI recently introduced a powerful feature called Predicted Outputs, which quietly entered the scene without much attention from the technical media—an oversight that deserves correction. I noticed they mentioned this on X in their developer account, but it didn't get much publicity. I decided to draw attention to it because it's a cool and useful feature.

Predicted Outputs significantly reduce latency for model responses, especially when much of the output is known ahead of time. This feature is particularly beneficial for applications that involve regenerating text documents or code files with minor modifications.

What Are Predicted Outputs?

Predicted Outputs allow developers to speed up API responses from Chat Completions when the expected output is largely predictable. By providing a prediction of the expected response using the prediction parameter in Chat Completions, the model can generate the required output more efficiently. This functionality is currently available with the latest GPT-4o and GPT-4o-mini models.

How Do Predicted Outputs Work?

When you have a response where most of the content is already known, you can supply that expected content as a prediction to the model. The model then uses this prediction to expedite the generation of the response, reducing latency and improving performance.

Custom Example: Updating Configuration Files

Imagine you have a JSON configuration file that needs a minor update. Here's an example of such a file:

{
  "appName": "MyApp",
  "version": "1.0.0",
  "settings": {
    "enableFeatureX": false,
    "maxUsers": 100
  }
}

Suppose you want to update enableFeatureX to true. Instead of generating the entire file from scratch, you can provide the original file as a prediction and instruct the model to make the necessary changes.

import OpenAI from "openai";

const config = `
{
  "appName": "MyApp",
  "version": "1.0.0",
  "settings": {
    "enableFeatureX": false,
    "maxUsers": 100
  }
}
`.trim();

const openai = new OpenAI();

const updatePrompt = `
Change "enableFeatureX" to true in the following JSON configuration. Respond only with the updated JSON, without any additional text.
`;

const completion = await openai.chat.completions.create({
  model: "gpt-4o",
  messages: [
    { role: "user", content: updatePrompt },
    { role: "user", content: config }
  ],
  prediction: {
    type: "content",
    content: config
  }
});

// Output the updated configuration
console.log(completion.choices[0].message.content);

In this example, the model quickly generates the updated configuration file, leveraging the prediction to minimize response time.

Streaming with Predicted Outputs

For applications that require streaming responses, Predicted Outputs offer even greater latency reductions. Here's how you can implement the previous example using streaming:

import OpenAI from "openai";

const config = `...`; // Original JSON configuration

const openai = new OpenAI();

const updatePrompt = `...`; // Prompt as before

const completion = await openai.chat.completions.create({
  model: "gpt-4o",
  messages: [ /* ... */ ],
  prediction: {
    type: "content",
    content: config
  },
  stream: true
});

for await (const chunk of completion) {
  process.stdout.write(chunk.choices[0]?.delta?.content || "");
}

At the time of writing, there are no alternatives to this solution from competitors. OpenAI's Predicted Outputs feature appears to be a unique offering that addresses the specific need for latency reduction when regenerating known content with minor modifications.

Tips for Developers

The cool thing is that to start using it, you need almost nothing. Just take it and use it by adding just one new parameter to the API request. This makes it very easy for developers to implement this feature in their existing applications.

Limitations

While Predicted Outputs offer significant advantages, there are important considerations:

Model Compatibility: Only the gpt-4o and gpt-4o-mini models support Predicted Outputs. I think that the fact it's only available on these models is not a problem at all, because they are currently the best models from OpenAI, and the original GPT-4 is too slow for this anyway.
Billing Implications: Rejected prediction tokens are billed at the same rate as generated tokens. Monitor the rejected_prediction_tokens in the usage data to manage costs.
Unsupported Parameters:
- n (values higher than 1)
- logprobs
- presence_penalty (values greater than 0)
- frequency_penalty (values greater than 0)
- max_completion_tokens
- tools (function calling is not supported)
Modality Restrictions: Only text modalities are supported; audio inputs and outputs are incompatible with Predicted Outputs.

Conclusion

OpenAI's Predicted Outputs is a groundbreaking feature that addresses a common challenge in AI applications: reducing latency when the response is largely predictable. By allowing developers to supply expected outputs, it accelerates response times and enhances user experience.

In my personal opinion, OpenAI models are not as strong as Anthropic's models. However, OpenAI produces many cool and really necessary solutions in other areas. Features like Predicted Outputs set OpenAI apart from other AI providers, offering unique solutions that meet specific needs in the developer community.

What is your approach when it comes to design your app?

Arsen Ibragimov — Mon, 15 Jun 2020 15:15:33 +0000

Hey, devs!

Today I want to share this with you. As a developer, I always struggle with design things. I saw only two options:

Bootstrap wich is noice but not unique;
Hire a designer to make the things done;

But! This time I found the way between those two and bought a ready to use template on ThemeForest. It saved me tons of hours and costs less than $20.

What about you? What is your approach?

✅ /done Make Seofy responsive and beautiful https://seofy.io

TIL not using slow external connections in critical places of my app

Arsen Ibragimov — Thu, 04 Jun 2020 17:24:53 +0000

Today, in the analytics system of Seofy, I found a decrease in conversion from visiting the main page of the site to adding a site, so I began to investigate the reasons. I tried to add the site myself and hung up waiting for the server to respond and redirect to the next page of the user path funnel. Waited for about 30 seconds.

The culprit was Guzzle, who sent a request to an external resource and was waiting for a response, and the external resource was loaded so much that he had no time to respond.

As a result, I transferred this Guzzle request and Telegram alerts to the Laravel Model Observer, rewriting the code as follows:

exec('curl -s -X POST https://api.telegram.org/bot'.env('TELEGRAM_BOT_TOKEN').'/sendMessage -d chat_id='.env('TELEGRAM_GROUP_ID').' -d text="'.$text_to_send.'" --connect-timeout 5 > /dev/null 2>&1 &');

exec('curl -X POST http://'.env('BOT_ADDRESS','localhost').':8051/domains/'.$domain->id.'/start --connect-timeout 5 > /dev/null 2>&1 &');

Now this logic is launched from the command line, without waiting for the result.

// Detect dark theme var iframe = document.getElementById('tweet-1268589727831244802-286'); if (document.body.className.includes('dark-theme')) { iframe.src = "https://platform.twitter.com/embed/Tweet.html?id=1268589727831244802&theme=dark" }

I wonder what you think about it and how you would act in this situation.

170 new remote jobs for developers at PayPal, Zapier, Toggl, and others

Arsen Ibragimov — Tue, 18 Feb 2020 09:21:50 +0000

Good day, DEV community! 👏🏼

It's Arsen from Meerkad community of remote job seekers with weekly updates.

During the period from February 2 to 17, I collected 170 vacancies from popular job boards like Glassdoor, Flex Jobs, WeWorkRemotely, and others, as well as from Facebook, Twitter, and Reddit.

It takes about 3 hours a day to visit 78 sources that I prepared in advance. Here are the links for several job's categories:

Java meerkad.com/remote-java-jobs
Python meerkad.com/remote-python-jobs
Ruby on Rails meerkad.com/remote-ruby-on-rails-jobs

All jobs for developers are here 👉🏻 meerkad.com/remote-developer-jobs

🙏🏻 Community is free and exists on donations. Support us on Patreon https://patreon.com/meerkad

Are you a Recruiter or HR? Looking for candidates? Let's connect and chat!

Ars

216 new remote jobs for developers at PayPal, Zapier, Toggl and others

Arsen Ibragimov — Mon, 03 Feb 2020 16:15:44 +0000

Good Monday, DEV community! 👏🏼

It's Arsen from Meerkad community of remote job seekers with weekly updates.

During the period from January 13 to 19, I collected 216 vacancies from popular job boards like Glassdoor, Flex Jobs, WeWorkRemotely, and others, as well as from Facebook, Twitter, and Reddit.

It takes about 3 hours a day to visit 78 sources that I prepared in advance. Here are the links for several job's categories:

Front-end https://meerkad.com/remote-frontend-jobs
Back-end https://meerkad.com/remote-backend-jobs
Full-stack https://meerkad.com/remote-full-stack-jobs

All jobs for developers are here 👉🏻 https://meerkad.com/remote-developer-jobs

As you might already know from my intro post I am a full-stack web developer (php, laravel, javascript) and the creator of Meerkad. I started this Remote Job Board Community to connect companies with the current and hopeful remote working people from all over the world. So! If you are looking for a remote job I'm glad to help!

Ars

I collected 126 new remote jobs for developers at IBM, Lambda School and others

Arsen Ibragimov — Mon, 27 Jan 2020 10:44:05 +0000

Good Monday, DEV community! 👏🏼

During the period from January 13 to 19, I collected 136 vacancies from popular job boards like Glassdoor, Flex Jobs, We Work Remotely, and others, as well as from Facebook, Twitter, and Reddit.

It takes about 3 hours a day to visit 78 sources that I prepared in advance. Here are the links for several job's categories by language:

JAVA https://meerkad.com/remote-java-jobs
PHP https://meerkad.com/remote-php-jobs
Python https://meerkad.com/remote-python-jobs

All developers jobs 👉🏻 https://meerkad.com/remote-developer-jobs

Ars

What parser do you use? What lib?

Arsen Ibragimov — Thu, 23 Jan 2020 10:34:44 +0000

Hey, dev community!

I want to parse jobs from different job boards like glassdoor, indeed and others and place them in mysql db for manual review by human and publishing on my job board.

What parser could you suggest for this kind of stuff? Php lib? Maybe there is a SAAS solution for this available?

Thx