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README.md

@@ -5,7 +5,7 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 5.49.1
+sdk_version: 6.0.0
 app_file: run.py
 pinned: false
 hf_oauth: true

requirements.txt

@@ -1,3 +1,3 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@e05eb8df38a4ca20993e94ca4e209cf8110bb677#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/e05eb8df38a4ca20993e94ca4e209cf8110bb677/gradio-5.49.1-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@d007e6cf617baba5c62e49ec2b7ce278aa863a79#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/d007e6cf617baba5c62e49ec2b7ce278aa863a79/gradio-6.0.0-py3-none-any.whl
 numpy

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: generate_tone"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio numpy"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import numpy as np\n", "import gradio as gr\n", "\n", "notes = [\"C\", \"C#\", \"D\", \"D#\", \"E\", \"F\", \"F#\", \"G\", \"G#\", \"A\", \"A#\", \"B\"]\n", "\n", "def generate_tone(note, octave, duration):\n", "    sr = 48000\n", "    a4_freq, tones_from_a4 = 440, 12 * (octave - 4) + (note - 9)\n", "    frequency = a4_freq * 2 ** (tones_from_a4 / 12)\n", "    duration = int(duration)\n", "    audio = np.linspace(0, duration, duration * sr)\n", "    audio = (20000 * np.sin(audio * (2 * np.pi * frequency))).astype(np.int16)\n", "    return sr, audio\n", "\n", "demo = gr.Interface(\n", "    generate_tone,\n", "    [\n", "        gr.Dropdown(notes, type=\"index\"),\n", "        gr.Slider(4, 6, step=1),\n", "        gr.Textbox(value=\"1\", label=\"Duration in seconds\"),\n", "    ],\n", "    \"audio\",\n", ")\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: generate_tone"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio numpy"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import numpy as np\n", "import gradio as gr\n", "\n", "notes = [\"C\", \"C#\", \"D\", \"D#\", \"E\", \"F\", \"F#\", \"G\", \"G#\", \"A\", \"A#\", \"B\"]\n", "\n", "def generate_tone(note, octave, duration):\n", "    sr = 48000\n", "    a4_freq, tones_from_a4 = 440, 12 * (octave - 4) + (note - 9)\n", "    frequency = a4_freq * 2 ** (tones_from_a4 / 12)\n", "    duration = int(duration)\n", "    audio = np.linspace(0, duration, duration * sr)\n", "    audio = (20000 * np.sin(audio * (2 * np.pi * frequency))).astype(np.int16)\n", "    return sr, audio\n", "\n", "demo = gr.Interface(\n", "    generate_tone,\n", "    [\n", "        gr.Dropdown(notes, type=\"index\"),\n", "        gr.Slider(4, 6, step=1),\n", "        gr.Textbox(value=\"1\", label=\"Duration in seconds\"),\n", "    ],\n", "    \"audio\",\n", "    api_name=\"predict\"\n", ")\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -20,6 +20,7 @@ demo = gr.Interface(
         gr.Textbox(value="1", label="Duration in seconds"),
     ],
     "audio",
+    api_name="predict"
 )
 if __name__ == "__main__":
     demo.launch()