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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import gradio as gr\n",
"import cq2m_utils"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Running on local URL: http://127.0.0.1:7860\n",
"\n",
"To create a public link, set `share=True` in `launch()`.\n"
]
},
{
"data": {
"text/html": [
"<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": []
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cq2m_interface = gr.Interface(fn=cq2m_utils.cq2m,\n",
" inputs=gr.Audio(type='filepath', format='wav'),\n",
" outputs=gr.File(type='file'),\n",
" title=\"Choral Quartets to Midi\",\n",
" description=\"An application that uses Multi-Pitch Estimation and Voice Assignment to transform .WAV files with Choral Quartets recordings into MIDI files, with a separate track for each voice.\")\n",
"\n",
"cq2m_interface.launch()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "tf",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.4"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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