AI subtitles in 98 languages, generate chapters or a summary, customize subtitles and generate AI art from the current scene!
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This extension saves you time by automatically loading information about a vehicle's MOT history on autotrader.co.uk.
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Instantly understand web content and extract key points with AI-powered summarization and translation with just one click.
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Help me read | GPT Reading Assistant, a free Chrome browser extension, summarizes any webpage using ChatGPT, supporting the use of GPT-3.5 or GPT-4 models. ...
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Mellow - DALL-E Image and Prompts Bulk Download This is a tool to download images and prompts from Mellow, a platform for creating and sharing DALL-E images.
Mellow - DALL-E Image and Prompts Bulk Download This is a tool to download images and prompts from Mellow, a platform for creating and sharing DALL-E images.🐱 Mellow is a Chrome extension designed for users of ChatGPT who use GPTs or DALL·E to create AI images.
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![AIScraper
This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API.
Features:
* Easy to use: Simply provide a search query and the library will return a list of product results.
* Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category.
* Efficient: The library uses asynchronous requests to speed up the scraping process.
* Reliable: The library is designed to handle rate limits and other website restrictions.
Installation:
```bash
pip install aiscraper
```
Usage:
```python
from aiscraper import AIScraper
Create an instance of the AIScraper class
scraper = AIScraper()
Perform a search for "laptops"
results = scraper.search("laptops")
Print the product titles
for result in results:
print(result["title"])
```
Documentation:
https://github.com/aiscraper/aiscraper](https://static.right-ai.com/tools/2024/7/4/chromewebstore-google-com-detail-aiscraper-mfjniiodgjhlmleaakofgijfccdgppbc-thumbnail-1720072105.png "AIScraper
This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API.
Features:
* Easy to use: Simply provide a search query and the library will return a list of product results.
* Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category.
* Efficient: The library uses asynchronous requests to speed up the scraping process.
* Reliable: The library is designed to handle rate limits and other website restrictions.
Installation:
```bash
pip install aiscraper
```
Usage:
```python
from aiscraper import AIScraper
Create an instance of the AIScraper class
scraper = AIScraper()
Perform a search for \"laptops\"
results = scraper.search(\"laptops\")
Print the product titles
for result in results:
print(result[\"title\"])
```
Documentation:
https://github.com/aiscraper/aiscraper")
AIScraper This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API. Features: * Easy to use: Simply provide a search query and the library will return a list of product results. * Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category. * Efficient: The library uses asynchronous requests to speed up the scraping process. * Reliable: The library is designed to handle rate limits and other website restrictions. Installation: ```bash pip install aiscraper ``` Usage: ```python from aiscraper import AIScraper Create an instance of the AIScraper class scraper = AIScraper() Perform a search for "laptops" results = scraper.search("laptops") Print the product titles for result in results: print(result["title"]) ``` Documentation: https://github.com/aiscraper/aiscraper
AIScraper This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API. Features: * Easy to use: Simply provide a search query and the library will return a list of product results. * Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category. * Efficient: The library uses asynchronous requests to speed up the scraping process. * Reliable: The library is designed to handle rate limits and other website restrictions. Installation: ```bash pip install aiscraper ``` Usage: ```python from aiscraper import AIScraper Create an instance of the AIScraper class scraper = AIScraper() Perform a search for "laptops" results = scraper.search("laptops") Print the product titles for result in results: print(result["title"]) ``` Documentation: https://github.com/aiscraper/aiscraperWeb scraper, powered by AI! Collect structured data from web pages in just a few clicks! What's new 🔹Simplified data collection…
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This extension changes the links for images and YouTube videos in ChatGPT or GPT messages into tags that show the images and videos directly.
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GPT for Google Search * What is GPT? GPT stands for Generative Pre-trained Transformer. It's a type of artificial intelligence (AI) that can understand and generate human-like text. * How could GPT improve Google Search? GPT could help Google Search in several ways: * Better understanding of natural language: GPT is trained on massive amounts of text data, allowing it to understand complex and nuanced search queries. * More conversational search experience: GPT could enable users to interact with Google Search in a more natural, conversational way. * Summarizing search results: GPT could condense large amounts of information from search results into concise summaries. * Generating different creative text formats: GPT could help users find information in new and interesting ways, such as generating poems, code, scripts, musical pieces, email, letters, etc., based on their search queries. * Challenges and Considerations: While GPT offers exciting possibilities, there are also challenges to consider: * Accuracy and bias: GPT models can sometimes generate inaccurate or biased information. It's crucial to ensure that GPT-powered search results are reliable and unbiased. * Transparency and explainability: It can be difficult to understand how GPT arrives at its results. Making GPT's decision-making process more transparent is important for building trust. * Ethical implications: The use of GPT in search raises ethical questions about the potential for misuse, such as generating harmful content or manipulating search results.
GPT for Google Search * What is GPT? GPT stands for Generative Pre-trained Transformer. It's a type of artificial intelligence (AI) that can understand and generate human-like text. * How could GPT improve Google Search? GPT could help Google Search in several ways: * Better understanding of natural language: GPT is trained on massive amounts of text data, allowing it to understand complex and nuanced search queries. * More conversational search experience: GPT could enable users to interact with Google Search in a more natural, conversational way. * Summarizing search results: GPT could condense large amounts of information from search results into concise summaries. * Generating different creative text formats: GPT could help users find information in new and interesting ways, such as generating poems, code, scripts, musical pieces, email, letters, etc., based on their search queries. * Challenges and Considerations: While GPT offers exciting possibilities, there are also challenges to consider: * Accuracy and bias: GPT models can sometimes generate inaccurate or biased information. It's crucial to ensure that GPT-powered search results are reliable and unbiased. * Transparency and explainability: It can be difficult to understand how GPT arrives at its results. Making GPT's decision-making process more transparent is important for building trust. * Ethical implications: The use of GPT in search raises ethical questions about the potential for misuse, such as generating harmful content or manipulating search results.Add ChatGPT to Google Search This is a popular idea! Many people think it would be amazing to have the power of ChatGPT directly integrated into Google Search. Imagine being able to ask Google a complex question and getting a clear, concise, and human-like response generated by ChatGPT. It could revolutionize how we search for information and interact with the web.
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