compliment-forest / README.md
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docs: configure hackathon Space (#1)
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metadata
title: The Compliment Forest
emoji: 🌿
colorFrom: green
colorTo: yellow
sdk: gradio
sdk_version: 6.16.0
python_version: 3.12
app_file: app.py
fullWidth: true
header: mini
pinned: true
short_description: Walk through a watercolor path of grounded encouragement.
models:
  - build-small-hackathon/compliment-forest-minicpm5-1b
  - build-small-hackathon/compliment-forest-flux-lora
datasets:
  - build-small-hackathon/compliment-forest-sft
  - build-small-hackathon/compliment-forest-watercolor
  - build-small-hackathon/compliment-forest-traces
tags:
  - gradio
  - build-small-hackathon
  - local-first
  - watercolor
  - llama.cpp

The Compliment Forest

Type a name and a situation, then walk through a progressive watercolor path. Each clearing pairs a creature with grounded encouragement, a reflection, and a copyable tiny spell.

The live Space uses the deterministic local demo backend so it remains fast and available on CPU hardware. The same application supports the published MiniCPM5-1B GGUF through a local llama.cpp server and FLUX.1-dev with the published watercolor LoRA by setting CF_TEXT_BACKEND=llama_cpp and CF_IMAGE_BACKEND=flux. No hosted inference API is called at runtime.

Published artifacts

  • Text model: build-small-hackathon/compliment-forest-minicpm5-1b
  • Text adapter: build-small-hackathon/compliment-forest-minicpm5-1b-lora
  • Text SFT data: build-small-hackathon/compliment-forest-sft
  • Watercolor LoRA: build-small-hackathon/compliment-forest-flux-lora
  • Watercolor data: build-small-hackathon/compliment-forest-watercolor
  • Linked-model traces: build-small-hackathon/compliment-forest-traces

This is whimsical encouragement, not therapy or a substitute for professional support. Crisis and acute-risk inputs are routed to human support instead of generating a forest.