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Browse files- requirements.txt +2 -2
- run.ipynb +1 -1
- run.py +2 -3
requirements.txt
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@@ -1,2 +1,2 @@
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gradio-client @ git+https://github.com/gradio-app/gradio@
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https://gradio-builds.s3.amazonaws.com/
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gradio-client @ git+https://github.com/gradio-app/gradio@9b42ba8f1006c05d60a62450d3036ce0d6784f86#subdirectory=client/python
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https://gradio-builds.s3.amazonaws.com/9b42ba8f1006c05d60a62450d3036ce0d6784f86/gradio-4.39.0-py3-none-any.whl
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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: stream_frames"]}, {"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 numpy as np\n", "\n", "def flip(im):\n", " return np.flipud(im)\n", "\n", "demo = gr.Interface(\n", " flip
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: stream_frames"]}, {"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 numpy as np\n", "\n", "def flip(im):\n", " return np.flipud(im)\n", "\n", "demo = gr.Interface(\n", " flip,\n", " gr.Image(sources=[\"webcam\"], streaming=True),\n", " \"image\",\n", " live=True\n", ")\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
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run.py
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@@ -5,11 +5,10 @@ def flip(im):
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return np.flipud(im)
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demo = gr.Interface(
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flip,
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gr.Image(sources=["webcam"], streaming=True),
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"image",
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live=True
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)
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if __name__ == "__main__":
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demo.launch()
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return np.flipud(im)
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demo = gr.Interface(
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flip,
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gr.Image(sources=["webcam"], streaming=True),
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"image",
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live=True
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)
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if __name__ == "__main__":
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demo.launch()
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