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requirements.txt

@@ -1,2 +1,2 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@de997e67c9a7feb9e2eccebf92969366dbd67eba#subdirectory=client/python
-https://gradio-builds.s3.amazonaws.com/de997e67c9a7feb9e2eccebf92969366dbd67eba/gradio-4.39.0-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@9b42ba8f1006c05d60a62450d3036ce0d6784f86#subdirectory=client/python
+https://gradio-builds.s3.amazonaws.com/9b42ba8f1006c05d60a62450d3036ce0d6784f86/gradio-4.39.0-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: model3d_component_events"]}, {"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", "\n", "with gr.Blocks() as demo:\n", "    with gr.Row():\n", "        with gr.Column():\n", "            input_3d = gr.Model3D(label=\"Input Model3D\")\n", "        with gr.Column():\n", "            output_3d = gr.Model3D(label=\"Output Model3D\")\n", "        with gr.Column():\n", "            num_change = gr.Number(label=\"# Change Events\", value=0)\n", "            num_load = gr.Number(label=\"# Upload Events\", value=0)\n", "            num_clear = gr.Number(label=\"# Clear Events\", value=0)\n", "            clear_value = gr.Textbox(label=\"Clear Value\", value=\"\")\n", "        input_3d.upload(lambda s, n: (s, n + 1), [input_3d, num_load], [output_3d, num_load])\n", "        input_3d.change(lambda n: n + 1, num_change, num_change)\n", "        input_3d.clear(lambda s, n: (s, n + 1), [input_3d, num_clear], [clear_value, num_clear])\n", "\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: model3d_component_events"]}, {"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", "\n", "with gr.Blocks() as demo:\n", "    with gr.Row():\n", "        with gr.Column():\n", "            input_3d = gr.Model3D(label=\"Input Model3D\")\n", "        with gr.Column():\n", "            output_3d = gr.Model3D(label=\"Output Model3D\")\n", "        with gr.Column():\n", "            num_change = gr.Number(label=\"# Change Events\", value=0)\n", "            num_load = gr.Number(label=\"# Upload Events\", value=0)\n", "            num_clear = gr.Number(label=\"# Clear Events\", value=0)\n", "            clear_value = gr.Textbox(label=\"Clear Value\", value=\"\")\n", "        input_3d.upload(lambda s, n: (s, n + 1), [input_3d, num_load], [output_3d, num_load])\n", "        input_3d.change(lambda n: n + 1, num_change, num_change)\n", "        input_3d.clear(lambda s, n: (s, n + 1), [input_3d, num_clear], [clear_value, num_clear])\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -15,6 +15,5 @@ with gr.Blocks() as demo:
         input_3d.change(lambda n: n + 1, num_change, num_change)
         input_3d.clear(lambda s, n: (s, n + 1), [input_3d, num_clear], [clear_value, num_clear])
 
-
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()