# gradio itself is provided by the Space SDK (sdk_version in README.md).
# `spaces` provides the @spaces.GPU decorator used on ZeroGPU. app.py shims it to
# a no-op when it's absent, so it's only actually required on the Space.
spaces
torch  # ZeroGPU requires torch >=2.8; the Space runtime supplies the CUDA build
transformers  # MusicGen + (on ZeroGPU) the MiniCPM5-1B enricher; needs >=5.6 for MiniCPM5
# Enrichment LLM: on a ZeroGPU Space it's openbmb/MiniCPM5-1B, pulled from the Hub
# at startup (no extra deps — standard Llama arch + fast tokenizer). For LOCAL dev
# instead, run Ollama with the model below pulled:
#   ollama pull llama3.2:3b
# The app runtime needs nothing more (ambience.py reads beds via stdlib `wave`).
# To (re)populate the sampled ambience beds in assets/ambience/, pick one:
#   download from Wikimedia Commons:  uv pip install soundfile av
#                                     python scripts/fetch_ambience.py
#   or generate them:                 uv pip install diffusers
#                                     python scripts/make_ambience.py