Html codes via @vid
YouTube
Border Animation CSS | Quick Animation
Border Animation CSS | Quick Animation
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Souce code:- https://linkpays.in/ZsDbV4
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image source : https://www.pexels.com
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official website: https://bit.ly/2UcNJhq
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Disclaimer…
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Souce code:- https://linkpays.in/ZsDbV4
------------------
image source : https://www.pexels.com
--------------------------
official website: https://bit.ly/2UcNJhq
------------------------------------
Disclaimer…
ChatGPT right in your headphones - “Nothing” showed a new update to their gadgets.
Now it will be possible to communicate in a neuron voice, and the coolest thing is that it will allow you to communicate with foreigners in real time, breaking down language barriers!
AirPods are going on the shelf.
Source 🤖
Now it will be possible to communicate in a neuron voice, and the coolest thing is that it will allow you to communicate with foreigners in real time, breaking down language barriers!
Source 🤖
Html codes via @vid
YouTube
How To Make Money With Google Adsense For Beginners 2022 ($100 a Day)
How to make money on Google Adsense and use the best method for beginners!
Make Money Training + Mentorship 👉 https://ecomelites.com
Full Affiliate Training + Mentorship 👉 https://savageaffiliates.com
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Make Money Training + Mentorship 👉 https://ecomelites.com
Full Affiliate Training + Mentorship 👉 https://savageaffiliates.com
🔔Subscribe to Frank! https://franklin.live/Subscribe…
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VIEW IN TELEGRAM
⚡️OpenAI has just released a neural network for creating videos — Sora! And it's the best tool for generating videos so far — it's almost impossible to tell the difference from real footage.
Sora is currently available to red teams that assess critical areas for harm or risk. The developers also provide access to visual artists, designers, and filmmakers to get feedback on how to improve the model.
However, we believe the model will soon become available to a wide range of Open AI users
More details - here.
Sora is currently available to red teams that assess critical areas for harm or risk. The developers also provide access to visual artists, designers, and filmmakers to get feedback on how to improve the model.
However, we believe the model will soon become available to a wide range of Open AI users
More details - here.
OpenAI has introduced Voice Engine, a breakthrough model that can create realistic and emotive voices from just a 15-second audio sample.
This innovation has the potential to greatly expand capabilities in education, translation, and healthcare by providing natural-sounding speech.
OpenAI is also prioritizing safety and ethical considerations, carefully managing the technology's deployment to prevent misuse
This innovation has the potential to greatly expand capabilities in education, translation, and healthcare by providing natural-sounding speech.
OpenAI is also prioritizing safety and ethical considerations, carefully managing the technology's deployment to prevent misuse
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Multiple 3 language website code:
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>Language Learning Website</title>
</head>
<body>
<header>
<h1>Welcome to Language Learning</h1>
</header>
<nav>
<ul>
<li><a href="#english">English</a></li>
<li><a href="#russian">Russian</a></li>
<li><a href="#korean">Korean</a></li>
</ul>
</nav>
<section id="english">
<h2>English</h2>
<p>This section contains English language learning resources.</p>
<!-- English learning content goes here -->
</section>
<section id="russian">
<h2>Русский (Russian)</h2>
<p>Этот раздел содержит ресурсы для изучения русского языка.</p>
<!-- Russian learning content goes here -->
</section>
<section id="korean">
<h2>한국어 (Korean)</h2>
<p>이 섹션은 한국어 학습 자료를 포함하고 있습니다.</p>
<!-- Korean learning content goes here -->
</section>
<footer>
<p>© 2024 Language Learning. All rights reserved.</p>
</footer>
</body>
</html>
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>Web Camera</title>
<style>
/* Add your custom styles here */
body {
font-family: Arial, sans-serif;
}
h1 {
text-align: center;
}
#video-preview {
width: 100%;
max-width: 300px;
border: 2px solid #000;
border-radius: 8px;
}
.camera-controls {
display: flex;
justify-content: space-between;
align-items: center;
margin-top: 10px;
}
.control-button {
background-color: transparent;
border: none;
cursor: pointer;
font-size: 24px;
color: #000;
}
#capture-button {
padding: 10px 20px;
background-color: #4CAF50;
color: white;
text-decoration: none;
font-size: 16px;
border: none;
border-radius: 4px;
cursor: pointer;
}
#captured-image {
display: none;
margin-top: 20px;
}
</style>
</head>
<body>
<h1>Web Camera</h1>
<video id="video-preview" autoplay></video>
<div class="camera-controls">
<button class="control-button" id="switch-camera-button">
<i class="fas fa-sync"></i>
</button>
<button class="control-button" id="capture-button">
<i class="fas fa-camera"></i> Capture Image
</button>
</div>
<canvas id="captured-image"></canvas>
<script src="https://kit.fontawesome.com/your-font-awesome-kit.js" crossorigin="anonymous"></script>
<script>
const videoPreview = document.getElementById('video-preview');
const switchCameraButton = document.getElementById('switch-camera-button');
const captureButton = document.getElementById('capture-button');
const capturedImageCanvas = document.getElementById('captured-image');
let currentCamera = 'environment';
// Check if the browser supports the getUserMedia API
if (navigator.mediaDevices && navigator.mediaDevices.getUserMedia) {
// Access the camera
navigator.mediaDevices.getUserMedia({ video: { facingMode: currentCamera } })
.then(stream => {
// Display the video preview
videoPreview.srcObject = stream;
})
.catch(error => {
console.error('Error accessing the camera:', error);
});
} else {
console.error('getUserMedia is not supported in this browser.');
}
// Switch between front and rear camera
switchCameraButton.addEventListener('click', () => {
currentCamera = currentCamera === 'environment' ? 'user' : 'environment';
navigator.mediaDevices.getUserMedia({ video: { facingMode: currentCamera } })
.then(stream => {
// Stop the current stream
const tracks = videoPreview.srcObject.getTracks();
tracks.forEach(track => track.stop());
// Display the new camera stream
videoPreview.srcObject = stream;
})
.catch(error => {
console.error('Error switching camera:', error);
});
});
// Capture image when the capture button is clicked
captureButton.addEventListener('click', () => {
// Create a canvas element to draw the captured image
const context = capturedImageCanvas.getContext('2d');
capturedImageCanvas.width = videoPreview.videoWidth;
capturedImageCanvas.height = videoPreview.videoHeight;
// Draw the current video frame onto the canvas
context.drawImage(videoPreview, 0, 0, capturedImageCanvas.width, capturedImageCanvas.height);
// Show the captured image
capturedImageCanvas.style.display = 'block';
// Optional: Save the captured image
// const imageDataURL = capturedImageCanvas.toDataURL();
// console.log('Captured image data URL:', imageDataURL);
});
</script>
</body>
</html>
<html>
<head>
<meta charset="UTF-8">
<title>Web Camera</title>
<style>
/* Add your custom styles here */
body {
font-family: Arial, sans-serif;
}
h1 {
text-align: center;
}
#video-preview {
width: 100%;
max-width: 300px;
border: 2px solid #000;
border-radius: 8px;
}
.camera-controls {
display: flex;
justify-content: space-between;
align-items: center;
margin-top: 10px;
}
.control-button {
background-color: transparent;
border: none;
cursor: pointer;
font-size: 24px;
color: #000;
}
#capture-button {
padding: 10px 20px;
background-color: #4CAF50;
color: white;
text-decoration: none;
font-size: 16px;
border: none;
border-radius: 4px;
cursor: pointer;
}
#captured-image {
display: none;
margin-top: 20px;
}
</style>
</head>
<body>
<h1>Web Camera</h1>
<video id="video-preview" autoplay></video>
<div class="camera-controls">
<button class="control-button" id="switch-camera-button">
<i class="fas fa-sync"></i>
</button>
<button class="control-button" id="capture-button">
<i class="fas fa-camera"></i> Capture Image
</button>
</div>
<canvas id="captured-image"></canvas>
<script src="https://kit.fontawesome.com/your-font-awesome-kit.js" crossorigin="anonymous"></script>
<script>
const videoPreview = document.getElementById('video-preview');
const switchCameraButton = document.getElementById('switch-camera-button');
const captureButton = document.getElementById('capture-button');
const capturedImageCanvas = document.getElementById('captured-image');
let currentCamera = 'environment';
// Check if the browser supports the getUserMedia API
if (navigator.mediaDevices && navigator.mediaDevices.getUserMedia) {
// Access the camera
navigator.mediaDevices.getUserMedia({ video: { facingMode: currentCamera } })
.then(stream => {
// Display the video preview
videoPreview.srcObject = stream;
})
.catch(error => {
console.error('Error accessing the camera:', error);
});
} else {
console.error('getUserMedia is not supported in this browser.');
}
// Switch between front and rear camera
switchCameraButton.addEventListener('click', () => {
currentCamera = currentCamera === 'environment' ? 'user' : 'environment';
navigator.mediaDevices.getUserMedia({ video: { facingMode: currentCamera } })
.then(stream => {
// Stop the current stream
const tracks = videoPreview.srcObject.getTracks();
tracks.forEach(track => track.stop());
// Display the new camera stream
videoPreview.srcObject = stream;
})
.catch(error => {
console.error('Error switching camera:', error);
});
});
// Capture image when the capture button is clicked
captureButton.addEventListener('click', () => {
// Create a canvas element to draw the captured image
const context = capturedImageCanvas.getContext('2d');
capturedImageCanvas.width = videoPreview.videoWidth;
capturedImageCanvas.height = videoPreview.videoHeight;
// Draw the current video frame onto the canvas
context.drawImage(videoPreview, 0, 0, capturedImageCanvas.width, capturedImageCanvas.height);
// Show the captured image
capturedImageCanvas.style.display = 'block';
// Optional: Save the captured image
// const imageDataURL = capturedImageCanvas.toDataURL();
// console.log('Captured image data URL:', imageDataURL);
});
</script>
</body>
</html>
👍1
NLP, or natural language processing, is a branch of artificial intelligence that focuses on the interaction between computers and human language. It aims to enable computers to understand, interpret, and generate human language in a valuable way.
NLP involves several different techniques and processes, including:
1. Text analysis: This involves breaking down natural language text into its constituent parts, such as sentences, words, and phrases, and analyzing their meanings and relationships.
2. Speech recognition: NLP systems can convert spoken language into text, allowing for voice commands and dictation.
3. Language generation: NLP systems can also generate human-like text based on specific input, such as chatbots or content generation systems.
4. Sentiment analysis: This involves using NLP techniques to determine the emotional tone of a piece of text, such as whether it is positive, negative, or neutral.
5. Machine translation: NLP is used to develop machine translation systems that can convert text from one language to another.
NLP has many practical applications, including:
- Chatbots and virtual assistants
- Language translation
- Text analysis and summarization
- Sentiment analysis for customer feedback
- Speech recognition and dictation
- Language generation for content creation
Overall, NLP is a rapidly developing field with a wide range of potential applications in various industries, including healthcare, customer service, education, and more. It has the potential to significantly improve the way we interact with computers and technology, making it more natural, intuitive, and efficient.
NLP involves several different techniques and processes, including:
1. Text analysis: This involves breaking down natural language text into its constituent parts, such as sentences, words, and phrases, and analyzing their meanings and relationships.
2. Speech recognition: NLP systems can convert spoken language into text, allowing for voice commands and dictation.
3. Language generation: NLP systems can also generate human-like text based on specific input, such as chatbots or content generation systems.
4. Sentiment analysis: This involves using NLP techniques to determine the emotional tone of a piece of text, such as whether it is positive, negative, or neutral.
5. Machine translation: NLP is used to develop machine translation systems that can convert text from one language to another.
NLP has many practical applications, including:
- Chatbots and virtual assistants
- Language translation
- Text analysis and summarization
- Sentiment analysis for customer feedback
- Speech recognition and dictation
- Language generation for content creation
Overall, NLP is a rapidly developing field with a wide range of potential applications in various industries, including healthcare, customer service, education, and more. It has the potential to significantly improve the way we interact with computers and technology, making it more natural, intuitive, and efficient.
👍1
It is difficult to provide a specific code format for viewing an APK file without more context or information about what exactly you are trying to achieve. Generally, APK files are compiled Android application packages, and they cannot be viewed directly as code because they are in a binary format.
If you are looking to view the contents of an APK file, you can use various tools like Android Studio, JADX, Apktool, or simply unzip the APK file to see its contents. However, if you are looking to view the decompiled source code of an APK, you would need to use a decompiler tool like JADX, JADX-GUI, or Fernflower.
Please provide more specific details or clarify your question so that we can better assist you with the code format for viewing an APK file.
If you are looking to view the contents of an APK file, you can use various tools like Android Studio, JADX, Apktool, or simply unzip the APK file to see its contents. However, if you are looking to view the decompiled source code of an APK, you would need to use a decompiler tool like JADX, JADX-GUI, or Fernflower.
Please provide more specific details or clarify your question so that we can better assist you with the code format for viewing an APK file.
1. The electric car company, Tesla, was founded by Elon Musk in 2003 and named after the famous electrical engineer and physicist, Nikola Tesla.
2. The average person will spend around 25 years of their life sleeping.
3. The honeybee is the only insect that produces food eaten by humans.
4. The fastest land animal is the cheetah, capable of reaching speeds up to 75 mph (120 km/h).
5. The Great Wall of China is approximately 13,170 miles (21,196 kilometers) long, making it the longest wall in the world.
6. The Eiffel Tower can be 15 cm taller during the summer, due to the expansion of the iron in the heat.
7. The human brain is the most complex object in the known universe, containing around 86 billion neurons.
8. The world's largest desert is not the Sahara, but Antarctica. It is considered a “cold desert” due to its low precipitation.
9. The average person will produce enough saliva in their lifetime to fill two swimming pools.
10. The inventor of the World Wide Web, Sir Tim Berners-Lee, made the first website available to the public on August 6, 1991.
2. The average person will spend around 25 years of their life sleeping.
3. The honeybee is the only insect that produces food eaten by humans.
4. The fastest land animal is the cheetah, capable of reaching speeds up to 75 mph (120 km/h).
5. The Great Wall of China is approximately 13,170 miles (21,196 kilometers) long, making it the longest wall in the world.
6. The Eiffel Tower can be 15 cm taller during the summer, due to the expansion of the iron in the heat.
7. The human brain is the most complex object in the known universe, containing around 86 billion neurons.
8. The world's largest desert is not the Sahara, but Antarctica. It is considered a “cold desert” due to its low precipitation.
9. The average person will produce enough saliva in their lifetime to fill two swimming pools.
10. The inventor of the World Wide Web, Sir Tim Berners-Lee, made the first website available to the public on August 6, 1991.