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README.md

@@ -1,12 +1,12 @@
+
 ---
-title: Render Heavy Concurrently
-emoji: 🌍
-colorFrom: pink
-colorTo: blue
+title: render_heavy_concurrently 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
-sdk_version: 5.7.0
-app_file: app.py
+sdk_version: 5.7.1
+app_file: run.py
 pinned: false
+hf_oauth: true
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

run.ipynb

@@ -0,0 +1 @@
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: render_heavy_concurrently"]}, {"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 random\n", "\n", "with gr.Blocks() as demo:\n", "\n", "    with gr.Row():\n", "\n", "        @gr.render()\n", "        def render():\n", "            for _ in range(500):\n", "                gr.Textbox(str(random.randint(0, 100)))\n", "            gr.Button(\"DONE 1\")\n", "\n", "        @gr.render()\n", "        def render2():\n", "            for _ in range(500):\n", "                gr.Textbox(str(random.randint(0, 100)))\n", "            gr.Button(\"DONE 2\")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.queue(default_concurrency_limit=64).launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

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+import gradio as gr
+import random
+
+with gr.Blocks() as demo:
+
+    with gr.Row():
+
+        @gr.render()
+        def render():
+            for _ in range(500):
+                gr.Textbox(str(random.randint(0, 100)))
+            gr.Button("DONE 1")
+
+        @gr.render()
+        def render2():
+            for _ in range(500):
+                gr.Textbox(str(random.randint(0, 100)))
+            gr.Button("DONE 2")
+
+if __name__ == "__main__":
+    demo.queue(default_concurrency_limit=64).launch()