Horus is an AI-powered browser assistant designed to enhance your web browsing experience. It offers a range of features including content summarization, translation, and format conversion. This tool is particularly useful for quickly grasping main points from lengthy articles, overcoming language barriers, and facilitating easy sharing of web content.
Horus
Horus is your AI assistant for creating summaries, insights, and expanding knowledge.
Introduction
Feature
AI-Powered Summary
Horus utilizes advanced AI technology to instantly compress website content, providing concise summaries. This feature allows users to quickly grasp the main points of any web page without reading through the entire text.
Translation Capabilities
The extension offers a translation feature, enabling users to convert web page content into their preferred language. This functionality breaks down language barriers and provides access to global information.
Markdown Conversion
Horus can transform web page content into Markdown format. This feature simplifies the process of editing and sharing information from websites.
PDF Dialogue
For handling large documents such as textbooks or reports, Horus offers a PDF dialogue feature. This functionality makes it easier to digest and learn from extensive materials.
Easy Installation and Use
Users can easily install Horus from the Chrome Web Store. Once installed, it can be activated with a simple click on the browser toolbar icon.
Free of Charge
Horus is offered as a free extension, requiring no subscription or payment for use.
FAQ
How does Horus work?
Horus employs AI-powered technology to instantly compress website content, providing users with a summary of the main points. This process allows for quick understanding of lengthy articles or documents.
Is Horus free to use?
Yes, Horus is completely free. Users can install and use the extension without any subscription or payment requirements.
Can Horus translate web page content?
Yes, Horus offers a translation feature that can convert web page content into the user's preferred language, facilitating access to information from around the world.
Latest Traffic Insights
Monthly Visits
219.89 M
Bounce Rate
55.58%
Pages Per Visit
2.80
Time on Site(s)
117.86
Global Rank
-
Country Rank
-
Recent Visits
Traffic Sources
- Social Media:0.47%
- Paid Referrals:0.53%
- Email:0.13%
- Referrals:13.02%
- Search Engines:16.50%
- Direct:69.35%
Related Websites
)
* 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.
219.89 M
Create original AI images from any page on the web Introducing Imagifi from Easyfi.ai, your personal AI image generator! With…
219.89 M
Enhance your email productivity with MailMaestro. Enjoy AI-assisted email summaries, unique style personalization, and top-quality drafts. Check our features today!
250.31 K
Unleash your imagination with Talefy, the AI-powered story generator. Explore interactive tales across various genres, unbounded by choices.
72.21 K
SafeGPT =============== SafeGPT is an AI model designed to generate human-like text while avoiding harmful or toxic content. It is trained on a massive dataset of text from the internet and can understand and respond to user input in a conversational manner. SafeGPT is capable of generating text on a wide range of topics, from simple questions to complex discussions, and can even create stories, dialogues, and more. Key Features: * Harmless responses: SafeGPT is designed to avoid generating harmful or toxic content, making it a safe and reliable tool for users of all ages. * Conversational understanding: SafeGPT can understand and respond to user input in a conversational manner, making it feel more like a human-like interaction. * Creative freedom: SafeGPT can generate text on a wide range of topics, from simple questions to complex discussions, and can even create stories, dialogues, and more. * Continuous learning: SafeGPT is constantly learning and improving its responses based on user feedback, ensuring that it becomes more accurate and helpful over time. Use Cases: * Chatbots and virtual assistants: SafeGPT can be used to power chatbots and virtual assistants, providing users with a safe and reliable way to interact with machines. * Content generation: SafeGPT can be used to generate content for websites, social media, and other platforms, helping to reduce the workload of content creators. * Language learning: SafeGPT can be used to help language learners practice their conversational skills, providing them with a safe and interactive way to improve their language abilities. Benefits: * Improved safety: SafeGPT's ability to avoid generating harmful or toxic content makes it a safer tool for users of all ages. * Increased creativity: SafeGPT's ability to generate text on a wide range of topics and in various styles makes it a valuable tool for content creators and language learners. * Enhanced user experience: SafeGPT's conversational understanding and ability to respond in a human-like manner make it a more enjoyable and interactive tool for users.
SafeGPT =============== SafeGPT is an AI model designed to generate human-like text while avoiding harmful or toxic content. It is trained on a massive dataset of text from the internet and can understand and respond to user input in a conversational manner. SafeGPT is capable of generating text on a wide range of topics, from simple questions to complex discussions, and can even create stories, dialogues, and more. Key Features: * Harmless responses: SafeGPT is designed to avoid generating harmful or toxic content, making it a safe and reliable tool for users of all ages. * Conversational understanding: SafeGPT can understand and respond to user input in a conversational manner, making it feel more like a human-like interaction. * Creative freedom: SafeGPT can generate text on a wide range of topics, from simple questions to complex discussions, and can even create stories, dialogues, and more. * Continuous learning: SafeGPT is constantly learning and improving its responses based on user feedback, ensuring that it becomes more accurate and helpful over time. Use Cases: * Chatbots and virtual assistants: SafeGPT can be used to power chatbots and virtual assistants, providing users with a safe and reliable way to interact with machines. * Content generation: SafeGPT can be used to generate content for websites, social media, and other platforms, helping to reduce the workload of content creators. * Language learning: SafeGPT can be used to help language learners practice their conversational skills, providing them with a safe and interactive way to improve their language abilities. Benefits: * Improved safety: SafeGPT's ability to avoid generating harmful or toxic content makes it a safer tool for users of all ages. * Increased creativity: SafeGPT's ability to generate text on a wide range of topics and in various styles makes it a valuable tool for content creators and language learners. * Enhanced user experience: SafeGPT's conversational understanding and ability to respond in a human-like manner make it a more enjoyable and interactive tool for users.Safe Web Co-pilot
219.89 M
Translation Methods: Comparative Translation & Immersive AI Translation
Translation Methods: Comparative Translation & Immersive AI TranslationProvide users with better AI translation and a more fluent reading experience.
219.89 M
