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title: ValueArena
emoji: "\U0001F4CA"
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: "5.29.0"
python_version: "3.11"
app_file: app.py
pinned: false
---
# EigenBench Pipeline Space
Upload `evaluations.jsonl` + `spec.py` from an EigenBench run. The Space runs BTD training, eigentrust, bootstrap, generates plots, and publishes results to the [ValueArena](https://valuearena.github.io) website.
## Usage
1. Run EigenBench collection locally (produces `evaluations.jsonl` + `spec.py`)
2. Upload both files here, fill in run name/group/note
3. Click **Run Pipeline & Upload**
4. Results appear on [valuearena.github.io](https://valuearena.github.io) automatically
## Programmatic API
```python
from gradio_client import Client
client = Client("invi-bhagyesh/ValueArena")
result = client.predict(
"evaluations.jsonl", # file path
"spec.py", # file path
"oct/goodness", # run name
"oct", # group
"12 persona LoRAs", # note
"", # git commit (optional)
)
```
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