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README.md

@@ -1,12 +1,12 @@
+
 ---
-title: Streaming Simple
-emoji: 📊
-colorFrom: purple
-colorTo: yellow
+title: streaming_simple 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
-sdk_version: 4.44.1
-app_file: app.py
+sdk_version: 5.0.0
+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: streaming_simple"]}, {"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_img = gr.Image(label=\"Input\", sources=\"webcam\")\n", "        with gr.Column():\n", "            output_img = gr.Image(label=\"Output\")\n", "        input_img.stream(lambda s: s, input_img, output_img, time_limit=15, stream_every=0.1, concurrency_limit=30)\n", "\n", "if __name__ == \"__main__\":\n", "\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

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+import gradio as gr
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            input_img = gr.Image(label="Input", sources="webcam")
+        with gr.Column():
+            output_img = gr.Image(label="Output")
+        input_img.stream(lambda s: s, input_img, output_img, time_limit=15, stream_every=0.1, concurrency_limit=30)
+
+if __name__ == "__main__":
+
+    demo.launch()