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Browse files- requirements.txt +1 -1
- run.ipynb +1 -1
- run.py +19 -7
requirements.txt
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https://gradio-builds.s3.amazonaws.com/
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https://gradio-builds.s3.amazonaws.com/8fc562a8abc0932fc312ac33bcc015f6cf2700f6/gradio-4.7.1-py3-none-any.whl
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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: reverse_audio"]}, {"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", "os.mkdir('audio')\n", "!wget -q -O audio/cantina.wav https://github.com/gradio-app/gradio/raw/main/demo/reverse_audio/audio/cantina.wav\n", "!wget -q -O audio/recording1.wav https://github.com/gradio-app/gradio/raw/main/demo/reverse_audio/audio/recording1.wav"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import os\n", "\n", "import numpy as np\n", "\n", "import gradio as gr\n", "\n", "\n", "def reverse_audio(audio):\n", " sr, data = audio\n", " return (sr, np.flipud(data))\n", "\n", "\n", "
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: reverse_audio"]}, {"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", "os.mkdir('audio')\n", "!wget -q -O audio/cantina.wav https://github.com/gradio-app/gradio/raw/main/demo/reverse_audio/audio/cantina.wav\n", "!wget -q -O audio/recording1.wav https://github.com/gradio-app/gradio/raw/main/demo/reverse_audio/audio/recording1.wav"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import os\n", "\n", "import numpy as np\n", "\n", "import gradio as gr\n", "\n", "\n", "def reverse_audio(audio):\n", " sr, data = audio\n", " return (sr, np.flipud(data))\n", "\n", "\n", "input_audio = gr.Audio(\n", " sources=[\"microphone\"],\n", " waveform_options=gr.WaveformOptions(\n", " waveform_color=\"#01C6FF\",\n", " waveform_progress_color=\"#0066B4\",\n", " skip_length=2,\n", " show_controls=False,\n", " ),\n", ")\n", "demo = gr.Interface(\n", " fn=reverse_audio,\n", " inputs=input_audio,\n", " outputs=\"audio\",\n", " examples=[\n", " \"https://samplelib.com/lib/preview/mp3/sample-3s.mp3\",\n", " os.path.join(os.path.abspath(''), \"audio/recording1.wav\"),\n", " ],\n", " cache_examples=True,\n", ")\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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return (sr, np.flipud(data))
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if __name__ == "__main__":
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demo.launch()
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return (sr, np.flipud(data))
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input_audio = gr.Audio(
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sources=["microphone"],
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waveform_options=gr.WaveformOptions(
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waveform_color="#01C6FF",
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waveform_progress_color="#0066B4",
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skip_length=2,
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show_controls=False,
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),
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)
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demo = gr.Interface(
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fn=reverse_audio,
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inputs=input_audio,
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outputs="audio",
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examples=[
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"https://samplelib.com/lib/preview/mp3/sample-3s.mp3",
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os.path.join(os.path.dirname(__file__), "audio/recording1.wav"),
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],
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cache_examples=True,
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)
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if __name__ == "__main__":
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demo.launch()
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