HTML Recorder is a Chrome extension that simplifies the process of converting web pages into plain text. It's designed for researchers, developers, and AI enthusiasts who want to create custom GPTs or enrich language models with current web content. The tool offers a user-friendly interface, requires no coding skills, and prioritizes user privacy by processing all data locally.
HTML Recorder
The easiest way to turn any website into plain text to create your own custom GPTs!
Introduction
Feature
Effortless Web Page to Text Conversion
HTML Recorder captures the HTML of any web page and converts it into a plain text file with just a few clicks. This feature is ideal for users who need to upload fresh, relevant web content into language models.
User-Friendly and Code-Free Interface
The extension is designed for simplicity, requiring no coding skills. Users can navigate the web as usual and easily select the data they wish to collect through a point-and-click interface.
Privacy-Centric Approach
HTML Recorder processes all HTML recordings locally on the user's computer, ensuring complete privacy. No data about visited sites or recorded content is collected by the tool.
Simple Installation and Usage
Users can easily install HTML Recorder from the Chrome Web Store and start using it immediately. The process involves navigating to a website, clicking the extension icon, selecting the desired area, and recording the HTML.
One-Time Payment Model
HTML Recorder offers lifetime access with a single payment, including future updates and email customer support. This model ensures uninterrupted access without recurring fees.
Money-Back Guarantee
The tool comes with a 100% money-back guarantee, providing users with a risk-free opportunity to try the extension.
FAQ
Is HTML Recorder free?
No, HTML Recorder is a paid tool that offers a one-time payment for lifetime access.
Do I need coding skills to use HTML Recorder?
No, HTML Recorder is designed to be code-free, making it accessible to users of all skill levels.
Is my data safe with HTML Recorder?
Yes, HTML Recorder ensures that all HTML recordings are processed locally on your computer, and they don't collect data about the sites you visit or the content you record.
How can I use HTML Recorder?
To use HTML Recorder:
- Install the extension from the Chrome Web Store
- Navigate to the desired website
- Click the HTML Recorder icon
- Select the area to record
- Click "Record" to capture the HTML
- The recorded HTML will be converted into a plain text file for use in creating custom GPTs
What are some helpful tips for using HTML Recorder?
- Use it to collect fresh, relevant web content for your language models
- Take advantage of the code-free interface to simplify web scraping
- Utilize the local processing feature to ensure data privacy
Related Websites
Buffup - AI Copilot of ChatGPT4 & Claude3 with 1,000+ bots
Buffup - AI Copilot of ChatGPT4 & Claude3 with 1,000+ botsAI Copilot of ChatGPT4 & Claude3 with 1K+ bots, GPTs, Internet Connectivity, Translation, Summarization This AI copilot combines the power of ChatGPT4 and Claude3, along with over 1,000 bots, GPTs, and internet connectivity, to provide advanced features such as translation and summarization.
193.90 M
Enhance your writing skills with an all-powerful proofreading tool, including typo correction, grammar checking, AI rewriting, and more.
193.90 M
)
* 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.
193.90 M
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.
193.90 M
What is a Prompster? A Prompster is a person who assists a speaker, actor, or presenter by providing them with lines or cues, usually in a subtle and discreet manner, during a performance, presentation, or speech.
What is a Prompster? A Prompster is a person who assists a speaker, actor, or presenter by providing them with lines or cues, usually in a subtle and discreet manner, during a performance, presentation, or speech.Slash Commands for ChatGPT and Bard ===================================== Introduction Slash commands are a convenient way to interact with ChatGPT and Bard, allowing you to perform various tasks and actions within the chat interface. This guide provides an overview of the available slash commands for both ChatGPT and Bard. ChatGPT Slash Commands #General Commands * `/help`: Displays a list of available slash commands and their descriptions. * `/reset`: Resets the conversation, clearing all previous messages and context. #Conversation Management * `/start`: Starts a new conversation, allowing you to begin a fresh topic or task. * `/stop`: Ends the current conversation, stopping any ongoing tasks or topics. #Language and Tone * `/lang <language_code>`: Sets the language for the conversation (e.g., `/lang en` for English). * `/tone <tone>`: Adjusts the tone of the responses (e.g., `/tone formal` for formal tone). #Task Management * `/task <task_name>`: Creates a new task or topic for the conversation (e.g., `/task math problem`). * `/done`: Marks the current task as completed. #Information and Resources * `/define <word>`: Provides the definition of a word or phrase. * `/wiki <topic>`: Displays information about a topic from Wikipedia. Bard Slash Commands #General Commands * `/help`: Displays a list of available slash commands and their descriptions. * `/reset`: Resets the conversation, clearing all previous messages and context. #Conversation Management * `/start`: Starts a new conversation, allowing you to begin a fresh topic or task. * `/stop`: Ends the current conversation, stopping any ongoing tasks or topics. #Language and Tone * `/lang <language_code>`: Sets the language for the conversation (e.g., `/lang en` for English). * `/tone <tone>`: Adjusts the tone of the responses (e.g., `/tone formal` for formal tone). #Task Management * `/task <task_name>`: Creates a new task or topic for the conversation (e.g., `/task math problem`). * `/done`: Marks the current task as completed. #Information and Resources * `/define <word>`: Provides the definition of a word or phrase. * `/wiki <topic>`: Displays information about a topic from Wikipedia. * `/news <topic>`: Displays news articles related to a specific topic. Conclusion Slash commands provide a convenient way to interact with ChatGPT and Bard, allowing you to manage conversations, adjust language and tone, and access various resources. By mastering these commands, you can optimize your experience and get the most out of your interactions with these AI models.
193.90 M
