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* changes * add changeset * changes * changes --------- Co-authored-by: Ali Abid <aliabid94@gmail.com> Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>
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"@gradio/app": minor | ||
"gradio": minor | ||
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feat:Allow app to fill width |
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: blocks_xray"]}, {"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", "import time\n", "\n", "disease_values = [0.25, 0.5, 0.75]\n", "\n", "def xray_model(diseases, img):\n", " return [{disease: disease_values[idx] for idx,disease in enumerate(diseases)}]\n", "\n", "\n", "def ct_model(diseases, img):\n", " return [{disease: 0.1 for disease in diseases}]\n", "\n", "with gr.Blocks() as demo:\n", " gr.Markdown(\n", " \"\"\"\n", "# Detect Disease From Scan\n", "With this model you can lorem ipsum\n", "- ipsum 1\n", "- ipsum 2\n", "\"\"\"\n", " )\n", " gr.DuplicateButton()\n", " disease = gr.CheckboxGroup(\n", " info=\"Select the diseases you want to scan for.\",\n", " choices=[\"Covid\", \"Malaria\", \"Lung Cancer\"], label=\"Disease to Scan For\"\n", " )\n", " slider = gr.Slider(0, 100)\n", "\n", " with gr.Tab(\"X-ray\") as x_tab:\n", " with gr.Row():\n", " xray_scan = gr.Image()\n", " xray_results = gr.JSON()\n", " xray_run = gr.Button(\"Run\")\n", " xray_run.click(\n", " xray_model,\n", " inputs=[disease, xray_scan],\n", " outputs=xray_results,\n", " api_name=\"xray_model\"\n", " )\n", "\n", " with gr.Tab(\"CT Scan\"):\n", " with gr.Row():\n", " ct_scan = gr.Image()\n", " ct_results = gr.JSON()\n", " ct_run = gr.Button(\"Run\")\n", " ct_run.click(\n", " ct_model,\n", " inputs=[disease, ct_scan],\n", " outputs=ct_results,\n", " api_name=\"ct_model\"\n", " )\n", "\n", " upload_btn = gr.Button(\"Upload Results\", variant=\"primary\")\n", " upload_btn.click(\n", " lambda ct, xr: None,\n", " inputs=[ct_results, xray_results],\n", " outputs=[],\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: blocks_xray"]}, {"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", "import time\n", "\n", "disease_values = [0.25, 0.5, 0.75]\n", "\n", "def xray_model(diseases, img):\n", " return [{disease: disease_values[idx] for idx,disease in enumerate(diseases)}]\n", "\n", "\n", "def ct_model(diseases, img):\n", " return [{disease: 0.1 for disease in diseases}]\n", "\n", "with gr.Blocks(fill_width=True) as demo:\n", " gr.Markdown(\n", " \"\"\"\n", "# Detect Disease From Scan\n", "With this model you can lorem ipsum\n", "- ipsum 1\n", "- ipsum 2\n", "\"\"\"\n", " )\n", " gr.DuplicateButton()\n", " disease = gr.CheckboxGroup(\n", " info=\"Select the diseases you want to scan for.\",\n", " choices=[\"Covid\", \"Malaria\", \"Lung Cancer\"], label=\"Disease to Scan For\"\n", " )\n", " slider = gr.Slider(0, 100)\n", "\n", " with gr.Tab(\"X-ray\") as x_tab:\n", " with gr.Row():\n", " xray_scan = gr.Image()\n", " xray_results = gr.JSON()\n", " xray_run = gr.Button(\"Run\")\n", " xray_run.click(\n", " xray_model,\n", " inputs=[disease, xray_scan],\n", " outputs=xray_results,\n", " api_name=\"xray_model\"\n", " )\n", "\n", " with gr.Tab(\"CT Scan\"):\n", " with gr.Row():\n", " ct_scan = gr.Image()\n", " ct_results = gr.JSON()\n", " ct_run = gr.Button(\"Run\")\n", " ct_run.click(\n", " ct_model,\n", " inputs=[disease, ct_scan],\n", " outputs=ct_results,\n", " api_name=\"ct_model\"\n", " )\n", "\n", " upload_btn = gr.Button(\"Upload Results\", variant=\"primary\")\n", " upload_btn.click(\n", " lambda ct, xr: None,\n", " inputs=[ct_results, xray_results],\n", " outputs=[],\n", " )\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} |
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