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Real-Time Fallacy Detection in Political Debates Using Whisper and LLMs
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Overlay showcase

I've developed a tool that serves as a real-time overlay for detecting logical fallacies in political debates. It uses PyQt5 for the UI and Mistral LLM through the API of the text-generation-webui for both audio transcription and logical analysis. The overlay is transparent, making it easy to keep it on top of other windows like a live stream or video. I was able to run both Whisper with the Mistral-7B-OpenOrca-GPTQ locally on a single RTX 3090. VRAM usage 15GB.

Key Features:

  • Real-time audio transcription captures what's being said in debates.
  • Instant fallacy detection using a Language Language Model (LLM).
  • The overlay is transparent, draggable, and stays on top for multitasking.
  • Option to toggle between local LLM and ChatGPT for logical analysis.

This tool aims to make it easier to spot logical inconsistencies in real-time during political debates, thereby fostering a more informed electorate.

Check it out on (GitHub)[https://github.com/latent-variable/Real_time_fallacy_detection] and I'd love to hear your thoughts!

Feel free to adapt this template to better suit your project's specifics.

Edit: typo

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1 year ago