refactor(app): rename to Image Data Extractor

Update the Space card, Gradio title and heading, extraction button, and Python project metadata for the new Image Data Extractor identity.

README.md

@@ -1,5 +1,5 @@
 ---
-title: NuMark
+title: Image Data Extractor
 emoji: 🧾
 colorFrom: blue
 colorTo: indigo
@@ -13,9 +13,9 @@ models:
 short_description: Extract structured JSON from documents with NuExtract3.
 ---
 
-# NuMark
+# Image Data Extractor
 
-NuMark is a Gradio app for extracting structured JSON from document images with [NuExtract3](https://huggingface.co/numind/NuExtract3).
+Image Data Extractor is a Gradio app for extracting structured JSON from document images with [NuExtract3](https://huggingface.co/numind/NuExtract3).
 
 Upload a receipt, invoice, or other document image, optionally add accompanying text, and choose a JSON template for schema-guided structured extraction. You can also generate a grounded template from the uploaded image before running extraction.
 

app.py

@@ -208,9 +208,9 @@ structured_json_templates = {
 default_structured_json_template = "Invoice with line items"
 
 
-with gr.Blocks(title="NuMarkApp") as demo:
+with gr.Blocks(title="Image Data Extractor") as demo:
     gr.Markdown(
-        "# NuMarkApp\n"
+        "# Image Data Extractor\n"
         "Extract structured JSON from an image and optional text using "
         "[numind/NuExtract3](https://huggingface.co/numind/NuExtract3)."
     )
@@ -237,7 +237,7 @@ with gr.Blocks(title="NuMarkApp") as demo:
                     lines=18,
                     info="Used for structured extraction. Edit the example to match your document.",
                 )
-            run = gr.Button("Extract structured JSON", variant="primary")
+            run = gr.Button("Extract Image Data", variant="primary")
         with gr.Column():
             structured_output = gr.JSON(
                 label="Structured JSON",

pyproject.toml

@@ -1,5 +1,5 @@
 [project]
-name = "numarkapp"
+name = "image-data-extractor"
 version = "0.1.0"
 description = "Add your description here"
 readme = "README.md"

uv.lock

@@ -469,6 +469,51 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/fc/34/3030de6f1370931b9dbb4dad48f6ab1015ab1d32447850b9fc94e60097be/idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2", size = 61538, upload-time = "2022-09-14T00:24:23.22Z" },
 ]
 
+[[package]]
+name = "image-data-extractor"
+version = "0.1.0"
+source = { virtual = "." }
+dependencies = [
+    { name = "gguf" },
+    { name = "gradio" },
+    { name = "huggingface-hub" },
+    { name = "ipykernel" },
+    { name = "ipython" },
+    { name = "ipywidgets" },
+    { name = "openai" },
+    { name = "pillow" },
+    { name = "spaces" },
+    { name = "torch" },
+    { name = "torchaudio" },
+    { name = "torchvision" },
+    { name = "transformers" },
+]
+
+[package.dev-dependencies]
+dev = [
+    { name = "ruff" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "gguf", specifier = ">=0.19.0" },
+    { name = "gradio" },
+    { name = "huggingface-hub" },
+    { name = "ipykernel", specifier = ">=7.3.0" },
+    { name = "ipython", specifier = ">=9.15.0" },
+    { name = "ipywidgets", specifier = ">=8.1.8" },
+    { name = "openai", specifier = ">=2.46.0" },
+    { name = "pillow", specifier = ">=12.3.0" },
+    { name = "spaces", specifier = ">=0.51.0" },
+    { name = "torch", specifier = "==2.11.0", index = "https://download.pytorch.org/whl/cu130" },
+    { name = "torchaudio", specifier = "==2.11.0", index = "https://download.pytorch.org/whl/cu130" },
+    { name = "torchvision", index = "https://download.pytorch.org/whl/cu130" },
+    { name = "transformers", specifier = ">=5.5.4" },
+]
+
+[package.metadata.requires-dev]
+dev = [{ name = "ruff", specifier = ">=0.15.22" }]
+
 [[package]]
 name = "ipykernel"
 version = "7.3.0"
@@ -711,51 +756,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/9e/c9/b2622292ea83fbb4ec318f5b9ab867d0a28ab43c5717bb85b0a5f6b3b0a4/networkx-3.6.1-py3-none-any.whl", hash = "sha256:d47fbf302e7d9cbbb9e2555a0d267983d2aa476bac30e90dfbe5669bd57f3762", size = 2068504, upload-time = "2025-12-08T17:02:38.159Z" },
 ]
 
-[[package]]
-name = "numarkapp"
-version = "0.1.0"
-source = { virtual = "." }
-dependencies = [
-    { name = "gguf" },
-    { name = "gradio" },
-    { name = "huggingface-hub" },
-    { name = "ipykernel" },
-    { name = "ipython" },
-    { name = "ipywidgets" },
-    { name = "openai" },
-    { name = "pillow" },
-    { name = "spaces" },
-    { name = "torch" },
-    { name = "torchaudio" },
-    { name = "torchvision" },
-    { name = "transformers" },
-]
-
-[package.dev-dependencies]
-dev = [
-    { name = "ruff" },
-]
-
-[package.metadata]
-requires-dist = [
-    { name = "gguf", specifier = ">=0.19.0" },
-    { name = "gradio" },
-    { name = "huggingface-hub" },
-    { name = "ipykernel", specifier = ">=7.3.0" },
-    { name = "ipython", specifier = ">=9.15.0" },
-    { name = "ipywidgets", specifier = ">=8.1.8" },
-    { name = "openai", specifier = ">=2.46.0" },
-    { name = "pillow", specifier = ">=12.3.0" },
-    { name = "spaces", specifier = ">=0.51.0" },
-    { name = "torch", specifier = "==2.11.0", index = "https://download.pytorch.org/whl/cu130" },
-    { name = "torchaudio", specifier = "==2.11.0", index = "https://download.pytorch.org/whl/cu130" },
-    { name = "torchvision", index = "https://download.pytorch.org/whl/cu130" },
-    { name = "transformers", specifier = ">=5.5.4" },
-]
-
-[package.metadata.requires-dev]
-dev = [{ name = "ruff", specifier = ">=0.15.22" }]
-
 [[package]]
 name = "numpy"
 version = "2.4.4"