This project provides a large language model-based summarization service accessible via a WeChat plugin and iOS shortcuts, targeting users who need to quickly digest web pages, videos, images, and documents. It offers flexible integration with various LLM providers like OpenAI, Gemini, and Azure, enabling efficient information extraction and multi-turn follow-up questions.

How It Works

The service acts as a middleware, abstracting the complexities of interacting with different LLM APIs for summarization tasks. It supports a wide range of content types, including URLs, PDFs, DOCX, images, and video/podcast links, by routing requests to configurable backend services. This modular design allows users to choose the most cost-effective or performant LLM for each task, with options for custom prompts and integrated note-taking features.

Quick Start & Requirements

• Installation: Use the command installp https://github.com/fatwang2/sum4all.git for online installation.
• Prerequisites: Requires configuration of API keys for chosen LLM services (OpenAI, Gemini, Azure, etc.) and potentially search services (Google, Bing via search1api).
• Documentation: https://github.com/fatwang2/sum4all

Highlighted Details

• Supports summarization of web pages, videos, podcasts, and various document formats (PDF, DOCX, TXT, PPT, etc.).
• Integrates with multiple LLM providers including OpenAI (GPT-4o-mini, GPT-4-vision-preview), Gemini (1.5 Flash), and Azure.
• Features include multi-turn Q&A, web search aggregation (Google, Bing, DuckDuckGo), and note-taking integration (flomo).
• Offers a self-hosted proxy service (sum4all) for OpenAI models.

Maintenance & Community

• Active development with frequent updates (e.g., V0.7.11 as of Sept 2024).
• Community support available via Discord.

Licensing & Compatibility

• The repository does not explicitly state a license in the provided README. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

• The WeChat plugin requires self-deployment and integration with chatgpt-on-wechat.
• Some features, like direct connection for domestic servers, may be unavailable depending on the chosen service configuration.
• The project does not specify a license, which may impact commercial adoption.