12/31/2023 0 Comments Summarize this article redditSix research prepositions were identified to facilitate the investigation of consumer attitude persuasion based on the literature. Incorporating VR and AR technology can help build stronger brands, engage audiences, and provide unique experiences for customers using their mobile devices. Summary generated by Grammarly: A conceptual review suggests that virtual reality (VR) and augmented reality (AR) video advertisements can persuade consumer attitudes. Prompt: Write a summary for senior marketing leaders of these findings on the persuasive nature of VR and AR video advertisements. This project is licensed under the MIT License. If you'd like to contribute to this project, please create a pull request. HELP_TEXT: The text to display when the user hovers over the help icon.DEFAULT_QUERY_TEXT: The default text to use for the GPT-3 prompt.MAX_BODY_TOKEN_SIZE: The maximum number of tokens for a comment body.REDDIT_URL: The URL of the Reddit thread to summarize.LOG_COLORS: A dictionary of colors for the log.LOG_FILE_PATH: The path to the log file.DEFAULT_MAX_TOKEN_LENGTH: The default maximum length of a summary.DEFAULT_NUMBER_OF_SUMMARIES: The default number of summaries to generate.DEFAULT_CHUNK_TOKEN_LENGTH: The default length of a chunk of comments.DEBUGPY_HOST: The host to use for the debugger.DEFAULT_DEBUG_PORT: The default port to use for the debugger.WAIT_FOR_CLIENT: Whether to wait for a client to attach before starting the app.ATTACH_DEBUGGER: Whether to attach a debugger to the app.The following configuration options are available: You can customize the behavior of the app using the config.py file. The app will automatically generate prompts for GPT-3 based on the thread's contents and generate a summary based on those prompts. This will start a web app that allows you to enter a Reddit thread URL and generate a summary. To install the dependencies, you can use poetry: The summaries are then saved to a file in an outputs folder in the current working directory. These comments are then concatenated into groups of a specified number of tokens, and a summary is generated for each group by prompting the OpenAI API with the group's text and the title and self text of the Reddit thread. It starts by making a request to a specified Reddit thread, extracting the title and self text, and then finding all of the comments in the thread. This script is used to generate summaries of Reddit threads by using the OpenAI API to complete chunks of text based on a prompt with recursive summarization. This is a Python-based Reddit thread summarizer that uses GPT-3 to generate summaries of the thread's comments. Sign up for the waitlist here: : articleĪrticle Better Programming/Medium Building a Reddit Thread Summarizer With ChatGPT API : added support for official ChatGPT API and models If you have access to the API, you can use the longer context windows today. The new 100k models can often consume entire reddit threads without recursion.ĭon't forget to add you Anthropic API key to your. Video overview of updates Article Better Programming/Medium: Transforming Reddit Summarization With Claude 100k and GPT 16k : added support for Anthropic models including Claude 100k + older OpenAI Instruct ModelsĮxpand settings to use Anthropic models also added support for older OpenAI instruct models- most produce garbage outputs but useful to test, that being said, Text Davinci 003 subjectively produces some of the highest quality outputs. : added support for Claude v2Īlso updated some dependencies (Anthropic, OpenAI, PRAW, Streamlit) : added support for new ChatGPT models (16k + 0613 models) Make sure to update your dependencies accordingly. We've also added support for GPT-4 128k and Claude 2.1 + Claude Instant v1.2.
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