fixed deployment for HF: using requirements.txt only, not pyproject.toml

README.md

@@ -43,8 +43,12 @@ Try these examples to see different aspects of the visualization:
 To run locally:
 
 ```bash
-pip install -e ".[space]"  # Install with Gradio UI dependencies
-python app.py
+uv venv
+# source .venv/bin/activate
+uv pip install -r requirements-dev.txt
+uv pip compile requirements-dev.txt -o uv.lock
+
+uv run app.py
 ```
 
 

app.py

@@ -1,3 +1,7 @@
+import sys
+from pathlib import Path
+sys.path.append(str(Path(__file__).parent / "src"))
+
 import gradio as gr
 from sparky.inference import load_model, calc_token_metrics, visualize_batch
 

pyproject.toml

@@ -1,32 +0,0 @@
-[project]
-name = "sparky"
-version = "0.1.0"
-description = "Add your description here"
-readme = "README.md"
-requires-python = ">=3.12"
-dependencies = [
-    "numpy>=2.2.2",
-]
-
-[dependency-groups]
-dev = [
-  "pytest>=8.3.4",
-  "ruff>=0.9.3",
-]
-
-[project.optional-dependencies]
-# Core inference dependencies
-inference = [
-    "torch>=2.5.1",
-    "transformers>=4.48.1",
-]
-# Everything needed for the Hugging Face Space
-space = [
-    "torch>=2.5.1",
-    "transformers>=4.48.1",
-    "gradio==5.13.2",
-]
-
-[build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"

requirements-dev.txt

@@ -0,0 +1,5 @@
+-r requirements.txt
+pytest~=8.3.4
+ruff~=0.9.3
+# This is a hard dependency, but it's provided by HF.
+gradio~=5.13.2

requirements.txt

@@ -1,2 +1,3 @@
-# For Hugging Face Spaces: install from pyproject.toml with additional requirements for running as an app.
--e .[space]
+numpy~=2.2.2
+torch~=2.5.1
+transformers~=4.48.1