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README.md

@@ -5,7 +5,7 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 5.49.1
+sdk_version: 6.0.0
 app_file: run.py
 pinned: false
 hf_oauth: true

requirements.txt

@@ -1,2 +1,2 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@e05eb8df38a4ca20993e94ca4e209cf8110bb677#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/e05eb8df38a4ca20993e94ca4e209cf8110bb677/gradio-5.49.1-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@d007e6cf617baba5c62e49ec2b7ce278aa863a79#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/d007e6cf617baba5c62e49ec2b7ce278aa863a79/gradio-6.0.0-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": ["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}
+{"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", "    api_name=\"predict\",\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch(allowed_paths=[str(MEDIA_ROOT)])\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -27,6 +27,7 @@ demo = gr.Interface(
         ],
     ],
     cache_examples=True,
+    api_name="predict",
 )
 
 if __name__ == "__main__":