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| title: Simple Voice Ai Assistant | |
| emoji: 📚 | |
| colorFrom: pink | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 4.44.0 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| short_description: This is a simple voice AI assistant powered by Groq. | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| # Simple AI Assistant using Groq and Gradio | |
| Groq is known for insanely fast inference speed that is very well-suited for realtime AI applications, providing multiple Large Language Models (LLMs) and speech-to-text models via Groq API. In this tutorial, we will use the Distil-Whisper English and Llama 3 70B models for speech-to-text and text-to-text. | |
| Gradio is an open-source Python library that makes it easy to prototype and deploy interactive demos without needing to write frontend code for a nice User Interface (UI), which is great if you're a developer like me who doesn't know much about frontend Bob Ross-ery. 🖌️ | |
| # References: | |
| 1. https://github.com/groq/groq-api-cookbook/blob/main/tutorials/groq-gradio/groq-gradio-tutorial.ipynb | |