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requirements.txt

@@ -1,2 +1,2 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@2c7a8007f45f28cbe158976aa93b3f09462a5a1a#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/2c7a8007f45f28cbe158976aa93b3f09462a5a1a/gradio-5.48.0-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@103e3ab8e95fbbbd3a099c297d91c6c5cb1c6615#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/103e3ab8e95fbbbd3a099c297d91c6c5cb1c6615/gradio-5.48.0-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: model3D"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["# Downloading files from the demo repo\n", "import os\n", "os.mkdir('files')\n", "!wget -q -O files/source.txt https://github.com/gradio-app/gradio/raw/main/demo/model3D/files/source.txt"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "# get_model3d() returns the file path to sample 3D models included with Gradio\n", "from gradio.media import get_model3d\n", "\n", "\n", "def load_mesh(mesh_file_name):\n", "    return mesh_file_name\n", "\n", "\n", "demo = gr.Interface(\n", "    fn=load_mesh,\n", "    inputs=gr.Model3D(label=\"Other name\", display_mode=\"wireframe\"),\n", "    outputs=gr.Model3D(\n", "        clear_color=(0.0, 0.0, 0.0, 0.0), label=\"3D Model\", display_mode=\"wireframe\"\n", "    ),\n", "    examples=[\n", "        [get_model3d(\"Bunny.obj\")],\n", "        [get_model3d(\"Duck.glb\")],\n", "        [get_model3d(\"Fox.gltf\")],\n", "        [get_model3d(\"face.obj\")],\n", "        [get_model3d(\"sofia.stl\")],\n", "        [\n", "            \"https://huggingface.co/datasets/dylanebert/3dgs/resolve/main/bonsai/bonsai-7k-mini.splat\"\n", "        ],\n", "        [\n", "            \"https://huggingface.co/datasets/dylanebert/3dgs/resolve/main/luigi/luigi.ply\"\n", "        ],\n", "    ],\n", "    cache_examples=True,\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: model3D"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "# get_model3d() returns the file path to sample 3D models included with Gradio\n", "from gradio.media import get_model3d, MEDIA_ROOT\n", "\n", "\n", "def load_mesh(mesh_file_name):\n", "    return mesh_file_name\n", "\n", "\n", "demo = gr.Interface(\n", "    fn=load_mesh,\n", "    inputs=gr.Model3D(label=\"Other name\", display_mode=\"wireframe\"),\n", "    outputs=gr.Model3D(\n", "        clear_color=(0.0, 0.0, 0.0, 0.0), label=\"3D Model\", display_mode=\"wireframe\"\n", "    ),\n", "    examples=[\n", "        [get_model3d(\"Bunny.obj\")],\n", "        [get_model3d(\"Duck.glb\")],\n", "        [get_model3d(\"Fox.gltf\")],\n", "        [get_model3d(\"face.obj\")],\n", "        [get_model3d(\"sofia.stl\")],\n", "        [\n", "            \"https://huggingface.co/datasets/dylanebert/3dgs/resolve/main/bonsai/bonsai-7k-mini.splat\"\n", "        ],\n", "        [\n", "            \"https://huggingface.co/datasets/dylanebert/3dgs/resolve/main/luigi/luigi.ply\"\n", "        ],\n", "    ],\n", "    cache_examples=True,\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch(allowed_paths=[str(MEDIA_ROOT)])\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,6 +1,6 @@
 import gradio as gr
 # get_model3d() returns the file path to sample 3D models included with Gradio
-from gradio.media import get_model3d
+from gradio.media import get_model3d, MEDIA_ROOT
 
 
 def load_mesh(mesh_file_name):
@@ -30,4 +30,4 @@ demo = gr.Interface(
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(allowed_paths=[str(MEDIA_ROOT)])