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Upload folder using huggingface_hub

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Files changed (2) hide show
  1. run.ipynb +1 -1
  2. run.py +1 -3
run.ipynb CHANGED
@@ -1 +1 @@
1
- {"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: waveform"]}, {"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", "\n", "COLORS = [\n", " [\"#ff0000\", \"#00ff00\"],\n", " [\"#00ff00\", \"#0000ff\"],\n", " [\"#0000ff\", \"#ff0000\"],\n", "] \n", "\n", "def audio_waveform(audio, image):\n", " return (\n", " audio,\n", " gr.make_waveform(audio),\n", " gr.make_waveform(audio, animate=True),\n", " gr.make_waveform(audio, bg_image=image, bars_color=str(random.choice(COLORS))),\n", " )\n", "\n", "\n", "gr.Interface(\n", " audio_waveform,\n", " inputs=[gr.Audio(), gr.Image(type=\"filepath\")],\n", " outputs=[\n", " gr.Audio(),\n", " gr.Video(),\n", " gr.Video(),\n", " gr.Video(),\n", " ],\n", ").launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
 
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+ {"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: waveform"]}, {"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", "COLORS = [\n", " [\"#ff0000\", \"#00ff00\"],\n", " [\"#00ff00\", \"#0000ff\"],\n", " [\"#0000ff\", \"#ff0000\"],\n", "]\n", "\n", "def audio_waveform(audio, image):\n", " return (\n", " audio,\n", " gr.make_waveform(audio),\n", " gr.make_waveform(audio, animate=True),\n", " gr.make_waveform(audio, bg_image=image, bars_color=str(random.choice(COLORS))),\n", " )\n", "\n", "gr.Interface(\n", " audio_waveform,\n", " inputs=[gr.Audio(), gr.Image(type=\"filepath\")],\n", " outputs=[\n", " gr.Audio(),\n", " gr.Video(),\n", " gr.Video(),\n", " gr.Video(),\n", " ],\n", ").launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
run.py CHANGED
@@ -1,12 +1,11 @@
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  import gradio as gr
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  import random
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-
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  COLORS = [
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  ["#ff0000", "#00ff00"],
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  ["#00ff00", "#0000ff"],
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  ["#0000ff", "#ff0000"],
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- ]
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  def audio_waveform(audio, image):
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  return (
@@ -16,7 +15,6 @@ def audio_waveform(audio, image):
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  gr.make_waveform(audio, bg_image=image, bars_color=str(random.choice(COLORS))),
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  )
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-
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  gr.Interface(
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  audio_waveform,
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  inputs=[gr.Audio(), gr.Image(type="filepath")],
 
1
  import gradio as gr
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  import random
3
 
 
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  COLORS = [
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  ["#ff0000", "#00ff00"],
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  ["#00ff00", "#0000ff"],
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  ["#0000ff", "#ff0000"],
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+ ]
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  def audio_waveform(audio, image):
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  return (
 
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  gr.make_waveform(audio, bg_image=image, bars_color=str(random.choice(COLORS))),
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  )
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  gr.Interface(
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  audio_waveform,
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  inputs=[gr.Audio(), gr.Image(type="filepath")],