Spaces:
Running
A newer version of the Gradio SDK is available: 6.20.0
title: Trollsona
emoji: 🧌
colorFrom: yellow
colorTo: red
sdk: gradio
sdk_version: 5.50.0
app_file: app.py
pinned: true
Trollsona / Your Troll Alterego
Tagline: Summon the little menace living behind your respectable personality.
Track: An Adventure in Thousand Token Wood
Build target: Hugging Face Space, Gradio app, small-model constraint <=32B.
GitHub repo: https://github.com/rthgit/Trollsona
Official Build Small Space: https://huggingface.co/spaces/build-small-hackathon/Trollsona
Backup Space: https://huggingface.co/spaces/RthItalia/Trollsona
Trollsona is a playful Gradio experience that turns a short user confession into a theatrical troll alter ego. The app returns a dossier-style result card with a trollsona name, a warm roast, one useful slap, and a goblin meter.
Built with a compact RthItalia model derived from Qwen/Qwen2.5-3B-Instruct, under 32B parameters. The deployed Space is configured to try that model first, then a lightweight Qwen 0.5B model, then the deterministic local fallback if model loading or generation is unavailable.
The official public Space currently runs the lightweight Qwen fallback on CPU, while the custom RthItalia compact 3B path is enabled automatically when CUDA is available.
Features
- Immersive Gradio UI for Hugging Face Spaces
- Theatrical trollsona result card
- Local Hugging Face Transformers generation path for the primary AI runtime
- Secondary lightweight Transformers model fallback
- Deterministic fallback generator for final resilience
- Safe roast guard for non-hateful, non-identity-targeted humor
- Persona dropdown, sting slider, and useful-truth checkbox
- Source/fallback notes hidden behind
See the cursed paperwork
Model Runtime
Trollsona uses a small-model cascade:
RthItalia/nano_compact_3b_qkvfp16- compact
Qwen/Qwen2.5-3B-Instruct-derived model by RthItalia - preferred runtime when CUDA is available
- loaded with
trust_remote_code=True
- compact
Qwen/Qwen2.5-0.5B-Instruct- lightweight hosted CPU fallback model
- currently active on the official public Hugging Face Space running on
cpu-basic
Deterministic fallback
- used only if both model paths are unavailable or return unsafe/invalid output
- keeps the demo stable and reproducible
Constraint:
small model only, <=32B parameters
Space model-first behavior:
TROLLSONA_ENABLE_MODEL=1
Recommended Hugging Face Space variables:
TROLLSONA_ENABLE_MODEL=1
TROLLSONA_MODEL_ID=RthItalia/nano_compact_3b_qkvfp16
TROLLSONA_FALLBACK_MODEL_ID=Qwen/Qwen2.5-0.5B-Instruct
TROLLSONA_MAX_NEW_TOKENS=200
Local fallback-safe behavior if no variable is set:
TROLLSONA_ENABLE_MODEL=0
Deterministic fallback only:
TROLLSONA_ENABLE_MODEL=0
Implementation notes:
bitsandbytesis not required- primary RthItalia path expects CUDA
- CPU-only Spaces use the Qwen 0.5B model before the deterministic fallback
- source/runtime/fallback details are hidden in
See the cursed paperwork
Stack
- Python
- Gradio
- Hugging Face Spaces
- Hugging Face Transformers, primary model path
- PyTorch, model backend
Required secrets:
[ASSENTE]
Run Locally
pip install -r requirements.txt
python app.py
Open:
http://127.0.0.1:7860
Model-first run:
TROLLSONA_ENABLE_MODEL=1 python app.py
Deterministic fallback run:
TROLLSONA_ENABLE_MODEL=0 python app.py
Hugging Face Space
Required files:
app.pyrequirements.txtREADME.mdassets/style.css
Space SDK:
Gradio
Official Build Small Space URL:
https://huggingface.co/spaces/build-small-hackathon/Trollsona
Backup Space URL:
https://huggingface.co/spaces/RthItalia/Trollsona
Safety
Trollsona roasts habits, vibe, wording, overthinking, productivity rituals, internet behavior, startup energy, and harmless personal lore.
It avoids:
- protected-class targeting
- identity-based insults
- appearance insults
- threats or self-harm content
- sexual content
- profanity or slurs
- cruelty or humiliation
If generated model output fails the safety guard, the app replaces it with a safe fallback card.
Hackathon Fit
- Built as a Gradio app for Hugging Face Space
- Fits
An Adventure in Thousand Token Wood - Supports the
<=32Bsmall-model constraint - Uses
RthItalia/nano_compact_3b_qkvfp16as the primary AI path when CUDA is available - Keeps
Qwen/Qwen2.5-0.5B-Instructas a secondary model fallback - Runs without mandatory cloud APIs
- Keeps deterministic fallback as a reliability guard
- Produces short, whimsical, shareable output
Codex Track
Built with OpenAI Codex.
Public GitHub repo: https://github.com/rthgit/Trollsona
Codex-attributed commits include:
3fe2db1Polish Trollsona dossier UI and grotesque prompt voice with Codex4f196a6Add RthItalia model cascade with Codex8a1b09dDocument hosted model cascade QA with Codexaad1a45Finalize Trollsona submission packaging with CodexSpace README repo link: present
Demo video: https://youtu.be/p2m9tac8lF8
Known Limits
- Official public Space link: https://huggingface.co/spaces/build-small-hackathon/Trollsona
- Backup Space link: https://huggingface.co/spaces/RthItalia/Trollsona
- Demo video: https://youtu.be/p2m9tac8lF8
- Social post URL: https://www.linkedin.com/posts/christian-quintino-de-luca-72b808344_buildsmall-gradio-huggingface-ugcPost-7468732928114651137-zX2a/
- Primary RthItalia model path requires CUDA; CPU-only Spaces use the secondary model fallback before deterministic fallback
- First model-backed generation can be slower on cold Spaces while model files load
- Exact model-backed behavior on upgraded Space hardware: [AMBIGUO], because upgraded hardware has not been tested