A newer version of the Gradio SDK is available: 6.11.0
metadata
title: Conjecture Lean+AI Lab
sdk: gradio
sdk_version: 6.6.0
python_version: '3.10'
app_file: app.py
pinned: false
emoji: 🔬
Conjecture Lean+AI Lab
This Space is tailored for conjecture-focused math research workflows that combine:
- AI-assisted reasoning and strategy generation
- dataset-grounded retrieval from
NorthernTribe-Research/math-conjecture-training-corpus - model execution using
NorthernTribe-Research/math-conjecture-model(with fallback) - explicit work trace emission on every run
- Lean-oriented verification stubs for formal follow-up
- alignment with the simple-to-intermediate-to-advanced-to-Lean response profile used in training and eval
What this Space does
- Accepts a conjecture statement and analysis mode.
- Lets you choose response depth (
SimpletoLean formalization, including progressive simple-to-Lean mode). - Retrieves relevant examples from the dataset (validation/test splits).
- Builds a transparent prompt with evidence context.
- Runs model inference (preferred repo, then fallback).
- Displays:
- full work log,
- retrieved evidence table,
- exact prompt sent to the model,
- model answer with explicit work sections,
- generated Lean theorem skeleton for formal verification.
Runtime secrets
Set at least one token secret in Space settings:
HF_TOKENorHUGGINGFACE_HUB_TOKEN
Optional:
HF_USERNAME
Notes
- The app is intentionally designed for auditability and reproducibility.
- Every run should expose intermediate work artifacts in the UI.