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    A few years ago, right after high school, I decided to try to make a simultaneous translation app for Android as a side project, it took longer than expected (about 2 years) and I had to make a lot of compromises (I had to use Google's API and therefore make users use a developer key because at the time there were no free solutions for speech recognition and translation that had good quality). At the end of university, I decided to pick it up again and finally, using OpenAi's Whisper for speech recognition and Meta's NLLB for translation (with both running locally on the phone), I managed to…

    2024 · github.com

  6. 6OS

    Hey everyone, We have been building SecureAI Tools -- an open-source application layer for ChatGPT and ChatPDF-like AI tools. It works with locally running LLMs as well as with OpenAI-compatible APIs. For local LLMs, it supports Ollama which supports all the gguf/ggml models. Currently, it has two features: Chat-with-LLM, and Chat-with-PDFs. It is optimized for self-hosting use cases and comes with basic user management features. Here are some quick demos: * Chat with documents using OpenAI's GPT3.5 model: https://www.youtube.com/watch?v=Br2D3G9O47s * Chat with documents…

    2023 · github.com

  7. 7
    AIProxy32

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  8. 8SO

    We built SwiftAI, an open-source Swift library that lets you use Apple’s on-device LLMs when available (Apple opened access in June), and fall back to a cloud model when they aren’t available — all without duplicating code. SwiftAI gives you: - A single, model-agnostic API - An agent/tool loop - Strongly-typed structured outputs - Optional chat state Backstory: We started experimenting with Apple’s local models because they’re free (no API calls), private, and work offline. The problem: not all devices support them (older iPhones, Apple Intelligence disabled, low battery, etc.). That…

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  20. 20OC

    Hi HN! Two weeks ago at their Dev Days, OpenAI unveiled ChatGPT apps, interactive widgets that render inside ChatGPT using the Apps SDK and MCP. Building them using their template repository was surprisingly painful: every time you make a change on your React widget, you need to rerun the entire build pipeline to get fresh JS and CSS assets. The dev feedback loop was pretty terrible. That’s why I built a TypeScript starter that gets you up and running in under a minute. Clone, npm install, npm run dev, paste your ngrok URL into ChatGPT, and you're iterating on widgets with Hot Module Reload…

    Oct 2025 · github.com

  21. 21OS

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