Atharv Vyas@atharv_vyas144

As earlier mentioned we added the automatic-speech-recognition model by zuu. This significant addition stems from the pipelines integrated within the transformers library. The integration of this audio speech recognition model is poised to yield remarkable improvements in the accessibility and usability of the stablecode module. Furthermore, our commitment to ensuring a comprehensive accessibility experience prompted us to integrate the text-to-speech (TTS) by suno/bark framework. This TTS model introduces an auditory dimension to the module, generating natural and coherent speech outputs based on the textual information present. This feature not only enriches the overall user experience but also serves as an additional layer of accessibility.

🗓️ This will be a 7-days of hacking and fun from 9-16 December 💻 Build with the latest AI tools from OpenAI to create innovative new apps 💡 Work with top AI professionals and learn from them ⚒️ Create your AI app by combining GPT-3, Codex, Dalle-2, and Whisper 🐱‍💻 Register now and let's get started!

🤖 You have 3 weeks to build. Join in at any point! 🌐 Connect with a global tech community. 🎉 Win from a $30,000 cash prize pool. 💾 The winning agent will become the AutoGPT in the 150000 star repository! 🚀 You may continue your startup journey after the Hackathon!

Unveiling StableCode: The pinnacle of coding aid by Stability AI! Seamlessly integrate StableCode for efficient, smarter coding.