YTchat is an innovative AI-powered chatbot extension designed for YouTube. It enables users to interact with video content through a chat interface, allowing them to ask questions and receive detailed responses without interrupting their viewing experience. This tool is particularly useful for productivity, studying, and learning purposes, offering a seamless way to extract information from YouTube videos.
YouTube Chat
Talk to a chatbot, ask questions, and get the exact information you need from YouTube videos, all without leaving YouTube!
Introduction
Feature
Quick and Easy Interaction
YTchat boasts a quick open/close system, allowing users to start chatting instantly without any delay. The simple and minimal user interface ensures easy navigation and usage.
Contextual AI Responses
The chatbot provides fast and detailed answers, strictly within the context of the YouTube video. This feature is excellent for obtaining specific information unique to the video content.
Customizable Queries
Users can tailor their queries using custom words, allowing for more precise and personalized responses that meet their specific needs.
Time-Saving Functionality
YTchat eliminates the need to watch entire videos. Users can load a video and begin chatting immediately, saving time and increasing efficiency in information gathering.
Subtitle Compatibility
The extension works with YouTube videos that have subtitles, including both built-in and auto-generated subtitles, expanding its usability across a wide range of content.
Free Accessibility
YTchat is available as a free extension, downloadable from the Chrome Web Store, making it accessible to all users without any subscription fees.
FAQ
How do I start using YTchat?
To use YTchat, follow these steps:
- Open a YouTube video
- Click on the YTchat extension icon
- The chat interface will open alongside the video
- Start asking questions or interacting with the video content
What are the requirements for using YTchat?
YTchat requires:
- A YouTube video with subtitles (built-in or auto-generated)
- The Chrome browser (as it's available on the Chrome Web Store)
Can YTchat be used with any YouTube video?
YTchat can be used with any YouTube video that has subtitles, either built-in or auto-generated.
Is there a cost associated with using YTchat?
No, YTchat is a free extension available for download from the Chrome Web Store.
How can I customize my queries for better results?
You can use specific words or phrases in your queries to tailor the responses to your needs. For example, if you're looking for a summary, you might start your query with "Summarize the main points about..."
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%
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.
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Searchable ChatGPT: Search GPT Conversation History With the rapid development of artificial intelligence technology, ChatGPT has become an essential tool for people to communicate and interact with AI. However, as the conversation history grows, it becomes increasingly difficult to find specific conversations or topics. To address this issue, we propose the concept of Searchable ChatGPT, which enables users to search their GPT conversation history efficiently. Key Features 1. Keyword Search Users can input specific keywords or phrases to search for relevant conversations in their chat history. The system will then display a list of conversations that match the search criteria, allowing users to quickly find the information they need. 2. Contextual Search In addition to keyword search, users can also search for conversations based on context. For example, they can search for conversations related to a specific topic, such as "travel" or "cooking." The system will then display a list of conversations that are relevant to the specified context. 3. Conversation Filtering To further refine the search results, users can apply filters to narrow down the list of conversations. For instance, they can filter conversations by date, time, or even the emotions expressed during the conversation. 4. Conversation Analytics Searchable ChatGPT also provides users with conversation analytics, which offer insights into their conversation patterns and preferences. This feature can help users identify areas for improvement and optimize their communication with ChatGPT. Benefits 1. Improved Productivity Searchable ChatGPT saves users time and effort by allowing them to quickly find specific conversations or topics in their chat history. 2. Enhanced User Experience By providing users with a more efficient way to search and analyze their conversations, Searchable ChatGPT enhances the overall user experience and encourages more effective communication with ChatGPT. 3. Better Decision Making With access to conversation analytics, users can make more informed decisions by identifying patterns and trends in their conversations with ChatGPT. Conclusion Searchable ChatGPT is a powerful tool that revolutionizes the way users interact with ChatGPT. By providing a robust search function, contextual search, conversation filtering, and conversation analytics, Searchable ChatGPT improves productivity, enhances the user experience, and enables better decision making.
Searchable ChatGPT: Search GPT Conversation History With the rapid development of artificial intelligence technology, ChatGPT has become an essential tool for people to communicate and interact with AI. However, as the conversation history grows, it becomes increasingly difficult to find specific conversations or topics. To address this issue, we propose the concept of Searchable ChatGPT, which enables users to search their GPT conversation history efficiently. Key Features 1. Keyword Search Users can input specific keywords or phrases to search for relevant conversations in their chat history. The system will then display a list of conversations that match the search criteria, allowing users to quickly find the information they need. 2. Contextual Search In addition to keyword search, users can also search for conversations based on context. For example, they can search for conversations related to a specific topic, such as "travel" or "cooking." The system will then display a list of conversations that are relevant to the specified context. 3. Conversation Filtering To further refine the search results, users can apply filters to narrow down the list of conversations. For instance, they can filter conversations by date, time, or even the emotions expressed during the conversation. 4. Conversation Analytics Searchable ChatGPT also provides users with conversation analytics, which offer insights into their conversation patterns and preferences. This feature can help users identify areas for improvement and optimize their communication with ChatGPT. Benefits 1. Improved Productivity Searchable ChatGPT saves users time and effort by allowing them to quickly find specific conversations or topics in their chat history. 2. Enhanced User Experience By providing users with a more efficient way to search and analyze their conversations, Searchable ChatGPT enhances the overall user experience and encourages more effective communication with ChatGPT. 3. Better Decision Making With access to conversation analytics, users can make more informed decisions by identifying patterns and trends in their conversations with ChatGPT. Conclusion Searchable ChatGPT is a powerful tool that revolutionizes the way users interact with ChatGPT. By providing a robust search function, contextual search, conversation filtering, and conversation analytics, Searchable ChatGPT improves productivity, enhances the user experience, and enables better decision making.Search ChatGPT conversation history instantly. Fully local and private. Press sidebar button or hotkey
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