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README.md

@@ -1,12 +1,12 @@
+
 ---
-title: Waveform 3-x
-emoji: 🐠
+title: waveform_3-x 
+emoji: 🔥
 colorFrom: indigo
-colorTo: red
+colorTo: indigo
 sdk: gradio
-sdk_version: 4.3.0
-app_file: app.py
+sdk_version: 3.50.1
+app_file: run.py
 pinned: false
+hf_oauth: true
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

run.ipynb

@@ -0,0 +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=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

@@ -0,0 +1,29 @@
+import gradio as gr
+import random
+
+
+COLORS = [
+    ["#ff0000", "#00ff00"],
+    ["#00ff00", "#0000ff"],
+    ["#0000ff", "#ff0000"],
+]    
+
+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)),
+    )
+
+
+gr.Interface(
+    audio_waveform,
+    inputs=[gr.Audio(), gr.Image(type="filepath")],
+    outputs=[
+        gr.Audio(),
+        gr.Video(),
+        gr.Video(),
+        gr.Video(),
+    ],
+).launch()