In this tutorial, we demonstrate a complete end-to-end solution to convert text into audio using an open-source text-to-speech (TTS) model available on Hugging Face. Leveraging the capabilities of the Coqui TTS library, the tutorial walks you through initializing a state-of-the-art TTS model (in our case, “tts_models/en/ljspeech/tacotron2-DDC”), processing your input text, and saving the resulting synthesis as a high-quality WAV audio file. In addition, we integrate Python’s audio processing tools, including the wave module and context managers, to analyze key audio file attributes like duration, sample rate, sample width, and channel configuration. This step-by-step guide is designed to cater to beginners…

Large Language Models (LLMs) have revolutionized natural language processing, with abilities on complex zero-shot tasks through extensive training data and vast parameters. However, LLMs often struggle with knowledge-intensive tasks due to limited task-specific prior knowledge and understanding capabilities. LLMs need access to reliable and continuously updated knowledge bases for effective reasoning, with Knowledge Graphs (KGs) being ideal candidates due to their structured semantic framework. Current approaches to LLM reasoning on KGs encounter two obstacles: representing KG content as extensive text fails to convey rich logical relationships within the graph structure, and retrieval and reasoning processes demand numerous LLM calls and…