Bilibili Subtitle is a Chrome extension that enhances the video-watching experience on Bilibili. It offers a range of features including subtitle display, navigation, and AI-powered tools for text generation, image creation, and document analysis. The extension supports multiple AI models and provides free daily usage of advanced AI services like GPT-4o and Dalle3.
Bilibili Subtitle List
Display a list of Bilibili video subtitles, allowing you to click to jump and download subtitles, and supporting translation and summary of subtitles!
Introduction
Feature
Subtitle Enhancement
- Displays video subtitles
- Clicking on subtitles jumps to the corresponding video position
- Supports multiple formats for copying and downloading subtitles
- Enables subtitle summarization, translation, and search
AI-Powered Tools
- Integrates GPT-4o for text generation and image understanding
- Incorporates Dalle3 for image creation
- Offers document analysis capabilities
Model Support
- Compatible with multiple AI models:
- OpenAI
- Gemini
- Local Ollama model
Customization
- Supports deep theme settings through the Settings panel
Extensive GPT Library
- Provides access to nearly 200,000 GPT models for various applications
Free Daily Usage
- Offers 20 free GPT-4o uses per day
- Shares credits between GPT-4o and Dalle3 for image generation
FAQ
How can I maximize my use of Bilibili Subtitle's AI services?
Users can leverage the daily free uses of GPT-4o for document reading and Dalle's image generation to explore a wide range of AI-powered tools supporting various tasks.
Will my information be used for your training data?
We highly value user privacy. Your data will not be used for any training purposes. If needed, you can delete your account at any time, and all your data will be removed as well.
When would I need a Bilibili Subtitle subscription?
If the 20 free GPT-4o conversations per day do not meet your needs and you heavily rely on GPT-4o, we invite you to subscribe to our affordable products for extended access.
Related Websites
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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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ChatGPT conversation history management, including: - Downloading historical data - Searching historical data - Collecting historical data
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Exthalpy is a serverless retrieval platform. It powers the future of AI by building retrieval-first AI applications and models. These applications and models are less dependent on computation-heavy training processes.
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Paraphraser is a complimentary rephrasing tool that utilizes AI algorithms to assist you in rewording text, sentences, and paragraphs, enabling you to convey ideas using your own language.
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Summarize and Translate with Gemini Gemini是一个基于人工智能的多语言翻译和文本摘要工具。它可以将长篇文本转换为简洁的摘要，同时提供多种语言的翻译选项。 #Key Features * Multilingual Translation: Gemini支持多种语言的翻译，包括英语、法语、德语、西班牙语、葡萄牙语、意大利语、荷兰语、俄语、中文、日语和韩语等。 * Text Summarization: Gemini可以将长篇文本转换为简洁的摘要，帮助用户快速了解文本的主要内容。 * AI-powered: Gemini基于人工智能技术，能够智能地识别和处理语言，提供高质量的翻译和摘要结果。 #How to Use Gemini 1. Copy and Paste: 将需要翻译或摘要的文本复制并粘贴到Gemini的输入框中。 2. Select Language: 选择需要翻译的语言或摘要的格式。 3. Get Result: Gemini将提供翻译或摘要结果，用户可以根据需要进行调整和编辑。 #Benefits * Save Time: Gemini可以快速地翻译和摘要长篇文本，节省用户的时间和精力。 * Improve Efficiency: Gemini的翻译和摘要结果可以帮助用户更好地理解和处理文本，提高工作效率。 * Enhance Productivity: Gemini可以帮助用户更好地与他人交流和合作，提高生产力和效率。
Summarize and Translate with Gemini Gemini是一个基于人工智能的多语言翻译和文本摘要工具。它可以将长篇文本转换为简洁的摘要，同时提供多种语言的翻译选项。 #Key Features * Multilingual Translation: Gemini支持多种语言的翻译，包括英语、法语、德语、西班牙语、葡萄牙语、意大利语、荷兰语、俄语、中文、日语和韩语等。 * Text Summarization: Gemini可以将长篇文本转换为简洁的摘要，帮助用户快速了解文本的主要内容。 * AI-powered: Gemini基于人工智能技术，能够智能地识别和处理语言，提供高质量的翻译和摘要结果。 #How to Use Gemini 1. Copy and Paste: 将需要翻译或摘要的文本复制并粘贴到Gemini的输入框中。 2. Select Language: 选择需要翻译的语言或摘要的格式。 3. Get Result: Gemini将提供翻译或摘要结果，用户可以根据需要进行调整和编辑。 #Benefits * Save Time: Gemini可以快速地翻译和摘要长篇文本，节省用户的时间和精力。 * Improve Efficiency: Gemini的翻译和摘要结果可以帮助用户更好地理解和处理文本，提高工作效率。 * Enhance Productivity: Gemini可以帮助用户更好地与他人交流和合作，提高生产力和效率。Summarize and Translate Web Pages This tool utilizes Gemini as its backend to provide a convenient way to summarize and translate web pages.
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