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Browse files- requirements.txt +2 -2
- run.ipynb +1 -1
- run.py +1 -1
requirements.txt
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gradio-client @ git+https://github.com/gradio-app/gradio@
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https://gradio-builds.s3.amazonaws.com/
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numpy
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gradio-client @ git+https://github.com/gradio-app/gradio@76c175935019833baef709a5cf401d2263ca72ee#subdirectory=client/python
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https://gradio-builds.s3.amazonaws.com/76c175935019833baef709a5cf401d2263ca72ee/gradio-4.38.1-py3-none-any.whl
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numpy
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run.ipynb
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{"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
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{"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}
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run.py
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@@ -17,7 +17,7 @@ demo = gr.Interface(
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[
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gr.Dropdown(notes, type="index"),
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gr.Slider(4, 6, step=1),
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gr.Textbox(value=1, label="Duration in seconds"),
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],
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"audio",
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)
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[
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gr.Dropdown(notes, type="index"),
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gr.Slider(4, 6, step=1),
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gr.Textbox(value="1", label="Duration in seconds"),
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],
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"audio",
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)
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