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README.md

@@ -5,7 +5,8 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 3.37.0
+sdk_version: 3.41.2
 app_file: run.py
 pinned: false
+hf_oauth: true
 ---

run.ipynb

@@ -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, bg_image=image, bars_color=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", "    ],\n", ").launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"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=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}

run.py

@@ -12,6 +12,7 @@ def audio_waveform(audio, image):
     return (
         audio,
         gr.make_waveform(audio),
+        gr.make_waveform(audio, animate=True),
         gr.make_waveform(audio, bg_image=image, bars_color=random.choice(COLORS)),
     )
 
@@ -23,5 +24,6 @@ gr.Interface(
         gr.Audio(),
         gr.Video(),
         gr.Video(),
+        gr.Video(),
     ],
 ).launch()