---
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)
)
```