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batch UI updates on a per frame basis (gradio-app#7564)
* changes * process fe fn tests * cleanup * cleanup * create_target_meta tests and abstraction * add interactivity detection and tests * more functions more tests * add tests for component loader, fix errors * fix everything * add changeset * add changeset * ci * cleanup * cleanup * test * fix again * tweaks * cleanup * add changeset * fix loading_status * cleanup * ensure updates have been flushed before making API requests * add changeset * df fix * fixes * fix dataframe updates * fix dataframe updates * remove $open var * add changeset * fix tests * extend timeout for lite --------- Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Abubakar Abid <abubakar@huggingface.co> Co-authored-by: Hannah <hannahblair@users.noreply.github.com>
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--- | ||
"@gradio/accordion": patch | ||
"@gradio/app": patch | ||
"@gradio/client": patch | ||
"@gradio/dataframe": patch | ||
"@gradio/dataset": patch | ||
"gradio": patch | ||
--- | ||
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fix:batch UI updates on a per frame basis |
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: audio_debugger"]}, {"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": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/audio_debugger/cantina.wav"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import subprocess\n", "import os\n", "\n", "audio_file = os.path.join(os.path.abspath(''), \"cantina.wav\")\n", "\n", "\n", "with gr.Blocks() as demo:\n", " with gr.Tab(\"Audio\"):\n", " gr.Audio(audio_file)\n", " with gr.Tab(\"Interface\"):\n", " gr.Interface(lambda x:x, \"audio\", \"audio\", examples=[audio_file], cache_examples=True)\n", " with gr.Tab(\"Streaming\"):\n", " gr.Interface(lambda x:x, gr.Audio(streaming=True), \"audio\", examples=[audio_file], cache_examples=True)\n", " with gr.Tab(\"console\"):\n", " ip = gr.Textbox(label=\"User IP Address\")\n", " gr.Interface(lambda cmd:subprocess.run([cmd], capture_output=True, shell=True).stdout.decode('utf-8').strip(), \"text\", \"text\")\n", " \n", " def get_ip(request: gr.Request):\n", " return request.client.host\n", " \n", " demo.load(get_ip, None, ip)\n", " \n", "if __name__ == \"__main__\":\n", " demo.queue()\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} | ||
{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: audio_debugger"]}, {"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": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/audio_debugger/cantina.wav"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import subprocess\n", "import os\n", "\n", "audio_file = os.path.join(os.path.abspath(''), \"cantina.wav\")\n", "\n", "\n", "with gr.Blocks() as demo:\n", " with gr.Tab(\"Audio\"):\n", " gr.Audio(audio_file)\n", " with gr.Tab(\"Interface\"):\n", " gr.Interface(\n", " lambda x: x, \"audio\", \"audio\", examples=[audio_file], cache_examples=True\n", " )\n", " with gr.Tab(\"Streaming\"):\n", " gr.Interface(\n", " lambda x: x,\n", " gr.Audio(streaming=True),\n", " \"audio\",\n", " examples=[audio_file],\n", " cache_examples=True,\n", " )\n", " with gr.Tab(\"console\"):\n", " ip = gr.Textbox(label=\"User IP Address\")\n", " gr.Interface(\n", " lambda cmd: subprocess.run([cmd], capture_output=True, shell=True)\n", " .stdout.decode(\"utf-8\")\n", " .strip(),\n", " \"text\",\n", " \"text\",\n", " )\n", "\n", " def get_ip(request: gr.Request):\n", " return request.client.host\n", "\n", " demo.load(get_ip, None, ip)\n", "\n", "if __name__ == \"__main__\":\n", " demo.queue()\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} |
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: hello_blocks"]}, {"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", "def greet(name):\n", " return \"Hello \" + name + \"!\"\n", "\n", "with gr.Blocks() as demo:\n", " name = gr.Textbox(label=\"Name\")\n", " output = gr.Textbox(label=\"Output Box\")\n", " greet_btn = gr.Button(\"Greet\")\n", " greet_btn.click(fn=greet, inputs=name, outputs=output, api_name=\"greet\")\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} | ||
{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: hello_blocks"]}, {"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", "\n", "def greet(name):\n", " return \"Hello \" + name + \"!\"\n", "\n", "\n", "with gr.Blocks() as demo:\n", " name = gr.Textbox(label=\"Name\")\n", " output = gr.Textbox(label=\"Output Box\")\n", " greet_btn = gr.Button(\"Greet\")\n", " greet_btn.click(fn=greet, inputs=name, outputs=output, api_name=\"greet\")\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} |
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import gradio as gr | ||
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def greet(name): | ||
return "Hello " + name + "!" | ||
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with gr.Blocks() as demo: | ||
name = gr.Textbox(label="Name") | ||
output = gr.Textbox(label="Output Box") | ||
greet_btn = gr.Button("Greet") | ||
greet_btn.click(fn=greet, inputs=name, outputs=output, api_name="greet") | ||
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if __name__ == "__main__": | ||
demo.launch() | ||
demo.launch() |
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