Real-time Video Generation AI is a Chrome extension that transforms web content into videos instantly. This innovative tool summarizes and translates web pages, YouTube videos, and even PDF files into video format, offering users a unique browsing experience. With support for multiple languages and customizable settings, it caters to a diverse user base and various content types.
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AI for Generating Real-Time Commentary Videos
Introduction
Feature
Real-time Video Generation
Instantly create videos from web pages, providing quick and efficient content summarization and translation.
Multi-language Support
Supports multiple languages including English and Japanese, making it accessible to users worldwide.
PDF Compatibility
Extends functionality to PDF files, allowing for video generation from various document types.
YouTube Integration
Particularly useful for summarizing and translating YouTube video content efficiently.
Customizable Settings
Users can tailor the video generation process by adjusting language preferences and video format options.
Free Installation and Use
Available as a free Chrome extension with no additional costs for video generation.
FAQ
How do I start using Real-time Video Generation AI?
- Install the Chrome extension from the Chrome Web Store
- Select the desired web content (page, YouTube video, or PDF)
- Configure settings such as language and video format
- Click "Generate Video" to create your summarized video
What types of content can I generate videos from?
You can generate videos from web pages, YouTube videos, and PDF files.
Is there a cost associated with using this extension?
The extension is free to install and use, with no specified pricing for video generation.
Can I customize the generated videos?
Yes, you can customize settings such as language and video format to tailor the output to your needs.
Latest Traffic Insights
Monthly Visits
193.90 M
Bounce Rate
56.27%
Pages Per Visit
2.71
Time on Site(s)
115.91
Global Rank
-
Country Rank
-
Recent Visits
Traffic Sources
- Social Media:0.48%
- Paid Referrals:0.55%
- Email:0.15%
- Referrals:12.81%
- Search Engines:16.21%
- Direct:69.81%
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* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.](https://static.right-ai.com/tools/2024/7/3/chromewebstore-google-com-detail-chatgpt-for-google-for-fr-pabeminldebomngnkgffiejipjjaaogi-thumbnail-1720037311.png "Get ChatGPT for Free with Google
You can now access ChatGPT, a powerful language model, for free with Google. Here's how:
Method 1: Google Colab
* Open Google Colab ([colab.research.google.com](http://colab.research.google.com))
* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = \"Your input here\"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = \"Your input here\"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.")
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.How to Add ChatGPT to All Google Searches ===================================================== Step 1: Create a Custom Search Engine -------------------------------------- * Go to the [Google Custom Search Engine](https://cse.google.com/) website and sign in with your Google account. * Click on the "New Search Engine" button. * Fill in the required information, such as the name and description of your search engine. * Click on the "Create" button. Step 2: Add ChatGPT to the Search Engine ----------------------------------------- * In the "Setup" tab, click on the "Add" button next to "Sites to search". * Enter the following URL: `https://chat.openai.com/` * Click on the "Add" button. Step 3: Configure the Search Engine -------------------------------------- * In the "Setup" tab, click on the "Edit" button next to "Search engine keywords". * Add the following keywords: `ChatGPT` * Click on the "Save" button. Step 4: Get the Search Engine Code ------------------------------------- * In the "Setup" tab, click on the "Get code" button. * Copy the HTML code provided. Step 5: Add the Search Engine to Your Browser ------------------------------------------------ * Open your browser and go to the "Settings" or "Options" page. * Look for the "Search engine" or "Default search engine" option. * Click on the "Add" or "Manage search engines" button. * Paste the HTML code you copied earlier. * Click on the "Add" or "Save" button. You're Done! =============== Now, whenever you search on Google, ChatGPT will be included in the search results. You can also use the custom search engine URL provided by Google to search directly.
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DecentralizedAI This is a general term referring to artificial intelligence (AI) systems that are not controlled by a single, centralized entity. Instead of relying on a large corporation or government to manage and govern AI, decentralized AI aims to distribute these capabilities across a network of independent nodes. Think of it like a blockchain for AI: * Transparency: The decision-making processes of decentralized AI are open and visible to everyone. * Security: Since there's no single point of failure, it's harder for malicious actors to take control or manipulate the system. * Resilience: Even if some nodes go offline, the network can continue to function. * Accessibility: Decentralized AI can make AI technology more accessible to individuals and smaller organizations. There are many potential applications for decentralized AI, including: * Data privacy: Decentralized AI can help protect user data by distributing it across multiple nodes. * Fairness and bias mitigation: By involving a wider range of participants in the training process, decentralized AI can help reduce bias in AI systems. * Autonomous organizations: Decentralized AI can be used to create self-governing organizations that operate without human intervention. Decentralized AI is still a relatively new field, but it has the potential to revolutionize the way we develop and use AI.
DecentralizedAI This is a general term referring to artificial intelligence (AI) systems that are not controlled by a single, centralized entity. Instead of relying on a large corporation or government to manage and govern AI, decentralized AI aims to distribute these capabilities across a network of independent nodes. Think of it like a blockchain for AI: * Transparency: The decision-making processes of decentralized AI are open and visible to everyone. * Security: Since there's no single point of failure, it's harder for malicious actors to take control or manipulate the system. * Resilience: Even if some nodes go offline, the network can continue to function. * Accessibility: Decentralized AI can make AI technology more accessible to individuals and smaller organizations. There are many potential applications for decentralized AI, including: * Data privacy: Decentralized AI can help protect user data by distributing it across multiple nodes. * Fairness and bias mitigation: By involving a wider range of participants in the training process, decentralized AI can help reduce bias in AI systems. * Autonomous organizations: Decentralized AI can be used to create self-governing organizations that operate without human intervention. Decentralized AI is still a relatively new field, but it has the potential to revolutionize the way we develop and use AI.The AI Layer2 Extension for Google Chrome.
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ChatGPT Snippet Saver This is a simple tool to save snippets from your ChatGPT conversations. How to Use: 1. Copy the text snippet you want to save from your ChatGPT conversation. 2. Paste the text into the input box below. 3. Click the "Save Snippet" button. Your snippet will be saved to your local storage. You can access your saved snippets later by clicking the "View Saved Snippets" button.
ChatGPT Snippet Saver This is a simple tool to save snippets from your ChatGPT conversations. How to Use: 1. Copy the text snippet you want to save from your ChatGPT conversation. 2. Paste the text into the input box below. 3. Click the "Save Snippet" button. Your snippet will be saved to your local storage. You can access your saved snippets later by clicking the "View Saved Snippets" button.GPT Snippet Saver - Save Your Favorite ChatGPT Conversations Revolutionize how you gather and organize information from ChatGPT! - Effortlessly capture and store your most valuable ChatGPT interactions. - Organize your saved conversations by topic, date, or any custom tag. - Easily search and retrieve specific snippets from your saved history. - Share your favorite ChatGPT insights with others. - Never lose track of a brilliant idea or helpful response again.
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