Sync from GitHub: fffd2d77fb5e6af20308373ea8815a5f0349874f

.gitattributes

@@ -0,0 +1 @@
+ng_tract-0.1.0-cp312-abi3-manylinux_2_34_x86_64.whl filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -4,4 +4,8 @@ __pycache__/
 *.pyo
 *.so
 *.whl
+# Vendored ng_tract wheel — must be committed so HF Space sync includes
+# it. The runtime installer in app.py pip-installs it in-process after
+# the repo is COPY --link'd into /app (see HF Space build pipeline).
+!ng_tract-0.1.0-cp312-abi3-manylinux_2_34_x86_64.whl
 tests/

Dockerfile

@@ -0,0 +1,58 @@
+# NuWave HuggingFace Space — Docker image.
+#
+# Why Docker instead of Gradio SDK: HF Spaces' Gradio SDK only mounts
+# requirements.txt during pip install (the repo is COPY --link'd later),
+# so vendored local wheels can't resolve. Runtime install workarounds
+# are fragile and leave import-cache traps. Docker gives us full control
+# of the build — the ng_tract wheel installs at image build time, the
+# Python process starts with everything already importable.
+#
+# Wheel distribution path: committed to the source GitHub repo (which
+# accepts binaries), synced to this HF Space repo via `hf upload` CLI
+# (which auto-routes binaries through Xet, bypassing the git-protocol
+# pre-receive hook that blocks binaries). See .github/workflows/sync_to_hf.yml.
+
+FROM python:3.12-slim
+
+# System dependencies. onnxruntime pulls libgomp at runtime; without it,
+# ng_embed fails with an opaque "cannot open shared object file" error
+# on first embed call.
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        libgomp1 \
+        git \
+    && rm -rf /var/lib/apt/lists/*
+
+# HF Spaces convention: run as non-root user with UID 1000. The Space
+# host maps persistent storage to /data owned by this UID, so running
+# as a different user breaks the state path.
+RUN useradd -m -u 1000 user
+USER user
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH \
+    PYTHONDONTWRITEBYTECODE=1 \
+    PYTHONUNBUFFERED=1
+
+WORKDIR /app
+
+# Install pure-Python dependencies first — separate layer for caching.
+# Requirements.txt copy is its own layer so a code change doesn't bust
+# the dep install layer.
+COPY --chown=user:user requirements.txt /app/requirements.txt
+RUN pip install --no-cache-dir --user -r /app/requirements.txt
+
+# Copy the rest of the repo (wheel included).
+COPY --chown=user:user . /app
+
+# Install the vendored ng_tract Rust wheel. --no-deps because it has
+# none and we don't want pip resolving; --force-reinstall to guarantee
+# a fresh install even if a same-version wheel somehow cached.
+RUN pip install --no-cache-dir --user --force-reinstall --no-deps \
+        /app/ng_tract-0.1.0-cp312-abi3-manylinux_2_34_x86_64.whl
+
+# Gradio serves on 7860 by convention on HF Spaces. Setting the env
+# vars lets app.py's demo.launch() pick them up without hardcoding.
+ENV GRADIO_SERVER_NAME=0.0.0.0 \
+    GRADIO_SERVER_PORT=7860
+EXPOSE 7860
+
+CMD ["python", "app.py"]

README.md

@@ -3,9 +3,8 @@ title: NuWave
 emoji: 🧠
 colorFrom: blue
 colorTo: purple
-sdk: gradio
-sdk_version: "5.29.0"
-app_file: app.py
+sdk: docker
+app_port: 7860
 pinned: false
 license: agpl-3.0
 ---

app.py

@@ -12,15 +12,7 @@ Splat-Lenia + BitNet model. On CPU. Gets smarter over time.
 # -------------------
 """
 
-# Install ng_tract wheel before any imports that need it
-import subprocess, sys, os
-_whl = os.path.join(os.path.dirname(__file__), "ng_tract-0.1.0-cp312-abi3-manylinux_2_34_x86_64.whl")
-if os.path.exists(_whl):
-    try:
-        import ng_tract
-    except ImportError:
-        subprocess.check_call([sys.executable, "-m", "pip", "install", _whl, "--quiet"])
-
+import os
 import gradio as gr
 import json
 import logging

ng_tract-0.1.0-cp312-abi3-manylinux_2_34_x86_64.whl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e890be59c5bd6ad0ae477da215c94ab6304342ef96ba9e0e1bc1e24a61c55faa
+size 411958

requirements.txt

@@ -4,3 +4,5 @@ accelerate>=0.27.0
 onnxruntime>=1.16.0
 tokenizers>=0.15.0
 msgpack>=1.0.0
+gradio==5.29.0
+huggingface_hub>=0.25.0