Astra Vision is an AI-powered web extension that enhances users' browsing experience. It combines powerful AI tools like Astra Guard and AI Snapper to provide a range of features, including protection against phishing websites and AI-powered screen analysis. This free extension is designed to improve web browsing safety and productivity.
Astra Vision
Astra Vision is an AI-powered web extension that includes a set of powerful AI tools: Astra Guard and AI Snapper.
Introduction
Feature
Guard: Web3 Wallet Protection
Astra Vision's Guard feature blocks access to known phishing websites, providing an essential layer of security for users' Web3 Wallets. This proactive approach helps prevent potential scams and unauthorized access to digital assets.
AI Snipper: Intelligent Screen Analysis
The AI Snipper tool allows users to capture and analyze specific parts of their screen using advanced AI technology. This versatile feature has multiple applications:
- Analyzing financial asset charts
- Finding optimal chess moves
- Solving complex mathematical equations
- Interpreting various types of visual data
Free Access
Astra Vision is offered as a free extension, with no subscription fees required. This makes its powerful AI tools and security features accessible to all users.
Easy Installation and Use
Users can quickly install Astra Vision as a browser extension, providing immediate access to its suite of tools and features to enhance their browsing experience.
Versatile Applications
The extension's features cater to a wide range of use cases, from financial analysis to problem-solving in various fields, making it a valuable tool for different types of users.
FAQ
What are the primary components of Astra Vision?
Astra Vision consists of two main components:
- Guard: A security feature that blocks access to known phishing websites
- AI Snipper: An AI-powered tool for analyzing screen captures
How does AI Snipper work?
AI Snipper allows users to:
- Capture a specific part of their screen
- Submit the captured image for AI analysis
- Receive intelligent insights based on the image content
Is Astra Vision compatible with all browsers?
The provided information doesn't specify browser compatibility. Users should check the extension's details for supported browsers.
Can Astra Vision help with tasks other than financial analysis and chess?
Yes, Astra Vision's AI Snipper can be used for various tasks involving visual data analysis, including but not limited to:
- Solving mathematical equations
- Interpreting charts and graphs
- Analyzing any type of visual information captured from the screen
How does Astra Vision contribute to Web3 security?
Astra Vision enhances Web3 security through its Guard feature, which actively blocks access to known phishing websites, helping to protect users' Web3 wallets from potential scams and unauthorized access.
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.
193.90 M
NoteGPT: ChatGPT Summary for Vimeo =============== What is NoteGPT? NoteGPT is an AI-powered note-taking tool that utilizes the capabilities of ChatGPT to assist users in summarizing and organizing their video content on Vimeo. Key Features * Automatic Summarization: NoteGPT can automatically generate a concise summary of Vimeo videos, saving users time and effort. * Customizable Notes: Users can add their own notes and tags to the generated summary, making it easy to review and reference later. * Organization: NoteGPT allows users to organize their video content by categorizing and tagging their notes, making it simple to find specific information. Benefits * Time-Saving: NoteGPT's automatic summarization feature saves users time and effort, allowing them to focus on more important tasks. * Improved Productivity: With NoteGPT, users can quickly review and reference their video content, improving their overall productivity. * Enhanced Learning: NoteGPT's customizable notes and organization features enable users to engage more effectively with their video content, leading to enhanced learning and retention. Use Cases * Education: NoteGPT is ideal for students and educators who need to review and summarize video lectures and online courses. * Business: NoteGPT can be used by professionals to summarize and organize video content for meetings, training sessions, and presentations. * Personal Development: Individuals can use NoteGPT to summarize and review video content for personal development, such as language learning or skill-building.
NoteGPT: ChatGPT Summary for Vimeo =============== What is NoteGPT? NoteGPT is an AI-powered note-taking tool that utilizes the capabilities of ChatGPT to assist users in summarizing and organizing their video content on Vimeo. Key Features * Automatic Summarization: NoteGPT can automatically generate a concise summary of Vimeo videos, saving users time and effort. * Customizable Notes: Users can add their own notes and tags to the generated summary, making it easy to review and reference later. * Organization: NoteGPT allows users to organize their video content by categorizing and tagging their notes, making it simple to find specific information. Benefits * Time-Saving: NoteGPT's automatic summarization feature saves users time and effort, allowing them to focus on more important tasks. * Improved Productivity: With NoteGPT, users can quickly review and reference their video content, improving their overall productivity. * Enhanced Learning: NoteGPT's customizable notes and organization features enable users to engage more effectively with their video content, leading to enhanced learning and retention. Use Cases * Education: NoteGPT is ideal for students and educators who need to review and summarize video lectures and online courses. * Business: NoteGPT can be used by professionals to summarize and organize video content for meetings, training sessions, and presentations. * Personal Development: Individuals can use NoteGPT to summarize and review video content for personal development, such as language learning or skill-building.Vimeo Summary with ChatGPT for Better Learning ===================================================== What is Vimeo? --------------- Vimeo is a video-hosting platform that allows users to upload, share, and view videos. It is popular among creative professionals, businesses, and individuals who want to showcase their videos in a high-quality format. How Can ChatGPT Help with Vimeo Courses? ----------------------------------------- ChatGPT is an AI-powered language model that can assist with summarizing Vimeo courses by: * Identifying key points: ChatGPT can analyze the video content and extract the most important information, making it easier to understand and retain. * Generating summaries: ChatGPT can create concise summaries of the video courses, saving time and effort. * Improving learning: By providing a clear and concise summary, ChatGPT can help learners focus on the essential concepts and improve their understanding of the material. Benefits of Using ChatGPT for Vimeo Courses --------------------------------------------- * Time-saving: ChatGPT can quickly summarize long video courses, saving learners time and effort. * Improved comprehension: ChatGPT's summaries can help learners understand complex concepts more easily. * Enhanced retention: By providing a concise summary, ChatGPT can help learners retain information better. How to Use ChatGPT for Vimeo Courses ----------------------------------------- 1. Upload the video course: Upload the Vimeo course to ChatGPT. 2. Analyze the content: ChatGPT will analyze the video content and extract key points. 3. Generate a summary: ChatGPT will create a concise summary of the video course. 4. Review and learn: Review the summary and use it to learn and retain the information. Conclusion ---------- ChatGPT can be a valuable tool for summarizing Vimeo courses, making it easier to learn and retain information. By using ChatGPT, learners can save time, improve comprehension, and enhance retention.
193.90 M