### Ideas: NotebookLLama Steps: Path: 1. Decide the Topic - Upload a PDF OR - Put in a topic -> Scraped - Report written 2. 2 Agents debate/interact? Podcast style -> Write a Transcript 3. TTS Engine (E25 or ) Make the podcast ### Instructions: Running 1B-Model: ```python 1B-chat-start.py --temperature 0.7 --top_p 0.9 --system_message "you are acting as an old angry uncle and will debate why LLMs are bad" --user_message "I love LLMs"``` Running Debator: ```python 1B-debating-script.py --initial_topic "The future of space exploration" --system_prompt1 "You are an enthusiastic advocate for space exploration" --system_prompt2 "You are a skeptic who believes we should focus on Earth's problems first" --n_turns 4 --temperature 0.8 --top_p 0.9 --model_name "meta-llama/Llama-3.2-1B-Instruct"``` ### Scratch-pad/Running Notes: Ignore/Delete this in final stages, right now this is a "vibe-check" for TTS model(s): - https://github.com/SWivid/F5-TTS: Latest and most popular-"feels robotic" - Reddit says E2 model from earlier is better Vibe check: - This is most popular (ever) on HF and features different accents-the samples feel a little robotic and no accent difference: https://huggingface.co/myshell-ai/MeloTTS-English - Seems to have great documentation but still a bit robotic for my liking: https://coqui.ai/blog/tts/open_xtts - Super easy with laughter etc but very slightly robotic: https://huggingface.co/suno/bark - This is THE MOST NATURAL SOUNDING: https://huggingface.co/WhisperSpeech/WhisperSpeech - This has a lot of promise, even though its robotic, we can use natural voice to add filters or effects: https://huggingface.co/spaces/parler-tts/parler_tts Higher Barrier to testing (In other words-I was too lazy to test): - https://huggingface.co/fishaudio/fish-speech-1.4 - https://huggingface.co/facebook/mms-tts-eng - https://huggingface.co/metavoiceio/metavoice-1B-v0.1 - https://huggingface.co/nvidia/tts_hifigan - https://huggingface.co/speechbrain/tts-tacotron2-ljspeech Try later: - Whisper Colab: - https://huggingface.co/parler-tts/parler-tts-large-v1 - https://huggingface.co/myshell-ai/MeloTTS-English - Bark: https://huggingface.co/suno/bark (This has been insanely popular) - https://huggingface.co/facebook/mms-tts-eng - https://huggingface.co/fishaudio/fish-speech-1.4 - https://huggingface.co/mlx-community/mlx_bark - https://huggingface.co/metavoiceio/metavoice-1B-v0.1 - https://huggingface.co/suno/bark-small