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mbrownnycnyc/midi_training_scales.ipynb

Last active February 10, 2025 13:17
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chatgpt generated: "can you generate midi files i can use to train with the piano that cover each major scale solo? provide me code to execute in google collab. correct the above to download multiple files, one per scale and one per solo. Allow me to download them as a zip."
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midi_training_scales.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"name": "synthesia_training_scales.ipynb",
"authorship_tag": "ABX9TyNFSAE7xKyzBCoJ5Lpp5Kxu",
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"cells": [
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"metadata": {
"id": "view-in-github",
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"source": [
"<a href=\"https://colab.research.google.com/gist/mbrownnycnyc/57d31ce8b4e6e90fdd15098d2014e3a4/untitled0.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Qkh_ID2Z04w7",
"outputId": "4f7f7191-3803-4650-c60f-6501f978b85d"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Requirement already satisfied: mido in /usr/local/lib/python3.11/dist-packages (1.3.3)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.11/dist-packages (from mido) (24.2)\n"
]
}
],
"source": [
"!pip install mido"
]
},
{
"cell_type": "markdown",
"source": [
"Step 2: Generate the MIDI Files"
],
"metadata": {
"id": "_y4vqszX08lw"
}
},
{
"cell_type": "code",
"source": [
"import mido\n",
"from mido import Message, MidiFile, MidiTrack\n",
"from google.colab import files\n",
"\n",
"# Define major scales\n",
"major_scales = {\n",
" \"C Major\": [60, 62, 64, 65, 67, 69, 71, 72], # C D E F G A B C\n",
" \"G Major\": [67, 69, 71, 72, 74, 76, 78, 79], # G A B C D E F# G\n",
" \"D Major\": [62, 64, 66, 67, 69, 71, 73, 74], # D E F# G A B C# D\n",
" \"A Major\": [69, 71, 73, 74, 76, 78, 80, 81], # A B C# D E F# G# A\n",
" \"E Major\": [64, 66, 68, 69, 71, 73, 75, 76], # E F# G# A B C# D# E\n",
" \"B Major\": [71, 73, 75, 76, 78, 80, 82, 83], # B C# D# E F# G# A# B\n",
" \"F# Major\": [66, 68, 70, 71, 73, 75, 77, 78], # F# G# A# B C# D# E# F#\n",
" \"C# Major\": [61, 63, 65, 66, 68, 70, 72, 73], # C# D# E# F# G# A# B# C#\n",
" \"F Major\": [65, 67, 69, 70, 72, 74, 76, 77], # F G A Bb C D E F\n",
" \"Bb Major\": [70, 72, 74, 75, 77, 79, 81, 82], # Bb C D Eb F G A Bb\n",
" \"Eb Major\": [63, 65, 67, 68, 70, 72, 74, 75], # Eb F G Ab Bb C D Eb\n",
" \"Ab Major\": [68, 70, 72, 73, 75, 77, 79, 80], # Ab Bb C Db Eb F G Ab\n",
" \"Db Major\": [61, 63, 65, 66, 68, 70, 72, 73], # Db Eb F Gb Ab Bb C Db\n",
" \"Gb Major\": [66, 68, 70, 71, 73, 75, 77, 78], # Gb Ab Bb Cb Db Eb F Gb\n",
"}\n",
"\n",
"# Function to create and save a MIDI file\n",
"def create_midi_file(filename, notes):\n",
" midi = MidiFile()\n",
" track = MidiTrack()\n",
" midi.tracks.append(track)\n",
"\n",
" for note in notes:\n",
" track.append(Message('note_on', note=note, velocity=64, time=200))\n",
" track.append(Message('note_off', note=note, velocity=64, time=200))\n",
"\n",
" midi.save(filename)\n",
"\n",
"# Generate separate MIDI files for scales and solos\n",
"for scale_name, notes in major_scales.items():\n",
" # Save scale (ascending & descending)\n",
" scale_filename = f\"{scale_name.replace(' ', '_')}_scale.mid\"\n",
" create_midi_file(scale_filename, notes + notes[::-1])\n",
"\n",
" # Save solo (simple phrase based on scale)\n",
" solo_notes = [notes[i % len(notes)] for i in [0, 2, 4, 5, 7, 4, 2, 0]]\n",
" solo_filename = f\"{scale_name.replace(' ', '_')}_solo.mid\"\n",
" create_midi_file(solo_filename, solo_notes)\n",
"\n"
],
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" const channel = await google.colab.kernel.comms.open(id);\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
"\n",
" for await (const message of channel.messages) {\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
" if (message.buffers) {\n",
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" const buffers = [];\n",
" let downloaded = 0;\n",
"\n",
" const channel = await google.colab.kernel.comms.open(id);\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
"\n",
" for await (const message of channel.messages) {\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
" if (message.buffers) {\n",
" for (const buffer of message.buffers) {\n",
" buffers.push(buffer);\n",
" downloaded += buffer.byteLength;\n",
" progress.value = downloaded;\n",
" }\n",
" }\n",
" }\n",
" const blob = new Blob(buffers, {type: 'application/binary'});\n",
" const a = document.createElement('a');\n",
" a.href = window.URL.createObjectURL(blob);\n",
" a.download = filename;\n",
" div.appendChild(a);\n",
" a.click();\n",
" div.remove();\n",
" }\n",
" "
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
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"application/javascript": [
"download(\"download_098f7d2e-5dd4-42f5-953d-f1284a460d3b\", \"Eb_Major_solo.mid\", 106)"
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
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"application/javascript": [
"\n",
" async function download(id, filename, size) {\n",
" if (!google.colab.kernel.accessAllowed) {\n",
" return;\n",
" }\n",
" const div = document.createElement('div');\n",
" const label = document.createElement('label');\n",
" label.textContent = `Downloading \"${filename}\": `;\n",
" div.appendChild(label);\n",
" const progress = document.createElement('progress');\n",
" progress.max = size;\n",
" div.appendChild(progress);\n",
" document.body.appendChild(div);\n",
"\n",
" const buffers = [];\n",
" let downloaded = 0;\n",
"\n",
" const channel = await google.colab.kernel.comms.open(id);\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
"\n",
" for await (const message of channel.messages) {\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
" if (message.buffers) {\n",
" for (const buffer of message.buffers) {\n",
" buffers.push(buffer);\n",
" downloaded += buffer.byteLength;\n",
" progress.value = downloaded;\n",
" }\n",
" }\n",
" }\n",
" const blob = new Blob(buffers, {type: 'application/binary'});\n",
" const a = document.createElement('a');\n",
" a.href = window.URL.createObjectURL(blob);\n",
" a.download = filename;\n",
" div.appendChild(a);\n",
" a.click();\n",
" div.remove();\n",
" }\n",
" "
]
},
"metadata": {}
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{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
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"application/javascript": [
"download(\"download_6775ca72-c20a-4096-bbc4-0b14a8637904\", \"Ab_Major_scale.mid\", 186)"
]
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"metadata": {}
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{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
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"\n",
" async function download(id, filename, size) {\n",
" if (!google.colab.kernel.accessAllowed) {\n",
" return;\n",
" }\n",
" const div = document.createElement('div');\n",
" const label = document.createElement('label');\n",
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" div.appendChild(label);\n",
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" progress.max = size;\n",
" div.appendChild(progress);\n",
" document.body.appendChild(div);\n",
"\n",
" const buffers = [];\n",
" let downloaded = 0;\n",
"\n",
" const channel = await google.colab.kernel.comms.open(id);\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
"\n",
" for await (const message of channel.messages) {\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
" if (message.buffers) {\n",
" for (const buffer of message.buffers) {\n",
" buffers.push(buffer);\n",
" downloaded += buffer.byteLength;\n",
" progress.value = downloaded;\n",
" }\n",
" }\n",
" }\n",
" const blob = new Blob(buffers, {type: 'application/binary'});\n",
" const a = document.createElement('a');\n",
" a.href = window.URL.createObjectURL(blob);\n",
" a.download = filename;\n",
" div.appendChild(a);\n",
" a.click();\n",
" div.remove();\n",
" }\n",
" "
]
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"metadata": {}
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{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"download(\"download_0c616853-9216-4ff7-b501-d5d16d9165ae\", \"Ab_Major_solo.mid\", 106)"
]
},
"metadata": {}
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{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
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"application/javascript": [
"\n",
" async function download(id, filename, size) {\n",
" if (!google.colab.kernel.accessAllowed) {\n",
" return;\n",
" }\n",
" const div = document.createElement('div');\n",
" const label = document.createElement('label');\n",
" label.textContent = `Downloading \"${filename}\": `;\n",
" div.appendChild(label);\n",
" const progress = document.createElement('progress');\n",
" progress.max = size;\n",
" div.appendChild(progress);\n",
" document.body.appendChild(div);\n",
"\n",
" const buffers = [];\n",
" let downloaded = 0;\n",
"\n",
" const channel = await google.colab.kernel.comms.open(id);\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
"\n",
" for await (const message of channel.messages) {\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
" if (message.buffers) {\n",
" for (const buffer of message.buffers) {\n",
" buffers.push(buffer);\n",
" downloaded += buffer.byteLength;\n",
" progress.value = downloaded;\n",
" }\n",
" }\n",
" }\n",
" const blob = new Blob(buffers, {type: 'application/binary'});\n",
" const a = document.createElement('a');\n",
" a.href = window.URL.createObjectURL(blob);\n",
" a.download = filename;\n",
" div.appendChild(a);\n",
" a.click();\n",
" div.remove();\n",
" }\n",
" "
]
},
"metadata": {}
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{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
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"application/javascript": [
"download(\"download_1b1cccbf-d707-402f-aa5b-97e0983bfbba\", \"Db_Major_scale.mid\", 186)"
]
},
"metadata": {}
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{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"\n",
" async function download(id, filename, size) {\n",
" if (!google.colab.kernel.accessAllowed) {\n",
" return;\n",
" }\n",
" const div = document.createElement('div');\n",
" const label = document.createElement('label');\n",
" label.textContent = `Downloading \"${filename}\": `;\n",
" div.appendChild(label);\n",
" const progress = document.createElement('progress');\n",
" progress.max = size;\n",
" div.appendChild(progress);\n",
" document.body.appendChild(div);\n",
"\n",
" const buffers = [];\n",
" let downloaded = 0;\n",
"\n",
" const channel = await google.colab.kernel.comms.open(id);\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
"\n",
" for await (const message of channel.messages) {\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
" if (message.buffers) {\n",
" for (const buffer of message.buffers) {\n",
" buffers.push(buffer);\n",
" downloaded += buffer.byteLength;\n",
" progress.value = downloaded;\n",
" }\n",
" }\n",
" }\n",
" const blob = new Blob(buffers, {type: 'application/binary'});\n",
" const a = document.createElement('a');\n",
" a.href = window.URL.createObjectURL(blob);\n",
" a.download = filename;\n",
" div.appendChild(a);\n",
" a.click();\n",
" div.remove();\n",
" }\n",
" "
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"download(\"download_ef2fb02b-50b2-478e-9e2e-7c6d2f9b18d4\", \"Db_Major_solo.mid\", 106)"
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},
"metadata": {}
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{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"\n",
" async function download(id, filename, size) {\n",
" if (!google.colab.kernel.accessAllowed) {\n",
" return;\n",
" }\n",
" const div = document.createElement('div');\n",
" const label = document.createElement('label');\n",
" label.textContent = `Downloading \"${filename}\": `;\n",
" div.appendChild(label);\n",
" const progress = document.createElement('progress');\n",
" progress.max = size;\n",
" div.appendChild(progress);\n",
" document.body.appendChild(div);\n",
"\n",
" const buffers = [];\n",
" let downloaded = 0;\n",
"\n",
" const channel = await google.colab.kernel.comms.open(id);\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
"\n",
" for await (const message of channel.messages) {\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
" if (message.buffers) {\n",
" for (const buffer of message.buffers) {\n",
" buffers.push(buffer);\n",
" downloaded += buffer.byteLength;\n",
" progress.value = downloaded;\n",
" }\n",
" }\n",
" }\n",
" const blob = new Blob(buffers, {type: 'application/binary'});\n",
" const a = document.createElement('a');\n",
" a.href = window.URL.createObjectURL(blob);\n",
" a.download = filename;\n",
" div.appendChild(a);\n",
" a.click();\n",
" div.remove();\n",
" }\n",
" "
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"download(\"download_15dd8770-d138-4783-9c79-d12e95e1caa8\", \"Gb_Major_scale.mid\", 186)"
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"\n",
" async function download(id, filename, size) {\n",
" if (!google.colab.kernel.accessAllowed) {\n",
" return;\n",
" }\n",
" const div = document.createElement('div');\n",
" const label = document.createElement('label');\n",
" label.textContent = `Downloading \"${filename}\": `;\n",
" div.appendChild(label);\n",
" const progress = document.createElement('progress');\n",
" progress.max = size;\n",
" div.appendChild(progress);\n",
" document.body.appendChild(div);\n",
"\n",
" const buffers = [];\n",
" let downloaded = 0;\n",
"\n",
" const channel = await google.colab.kernel.comms.open(id);\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
"\n",
" for await (const message of channel.messages) {\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
" if (message.buffers) {\n",
" for (const buffer of message.buffers) {\n",
" buffers.push(buffer);\n",
" downloaded += buffer.byteLength;\n",
" progress.value = downloaded;\n",
" }\n",
" }\n",
" }\n",
" const blob = new Blob(buffers, {type: 'application/binary'});\n",
" const a = document.createElement('a');\n",
" a.href = window.URL.createObjectURL(blob);\n",
" a.download = filename;\n",
" div.appendChild(a);\n",
" a.click();\n",
" div.remove();\n",
" }\n",
" "
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"metadata": {}
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{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"download(\"download_8dc3be2f-86de-4fe6-be43-0968f7d5e70d\", \"Gb_Major_solo.mid\", 106)"
]
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"Step 3: Zip MIDI Files and Download\n",
"After running the previous code to generate MIDI files, run this new block to zip them up:"
],
"metadata": {
"id": "ZwQpjevu1oy9"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"import os\n",
"import zipfile\n",
"\n",
"# Define zip filename\n",
"zip_filename = \"major_scales_solos.zip\"\n",
"\n",
"# Create a zip file\n",
"with zipfile.ZipFile(zip_filename, 'w') as zipf:\n",
" for file in os.listdir():\n",
" if file.endswith(\".mid\"): # Include only MIDI files\n",
" zipf.write(file)\n",
"\n",
"# Download the zip file\n",
"files.download(zip_filename)\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 17
},
"id": "Oy5xHjF61rbv",
"outputId": "b6cc1a59-b2ad-4a26-f3fe-fad4f3f59b20"
},
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"\n",
" async function download(id, filename, size) {\n",
" if (!google.colab.kernel.accessAllowed) {\n",
" return;\n",
" }\n",
" const div = document.createElement('div');\n",
" const label = document.createElement('label');\n",
" label.textContent = `Downloading \"${filename}\": `;\n",
" div.appendChild(label);\n",
" const progress = document.createElement('progress');\n",
" progress.max = size;\n",
" div.appendChild(progress);\n",
" document.body.appendChild(div);\n",
"\n",
" const buffers = [];\n",
" let downloaded = 0;\n",
"\n",
" const channel = await google.colab.kernel.comms.open(id);\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
"\n",
" for await (const message of channel.messages) {\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
" if (message.buffers) {\n",
" for (const buffer of message.buffers) {\n",
" buffers.push(buffer);\n",
" downloaded += buffer.byteLength;\n",
" progress.value = downloaded;\n",
" }\n",
" }\n",
" }\n",
" const blob = new Blob(buffers, {type: 'application/binary'});\n",
" const a = document.createElement('a');\n",
" a.href = window.URL.createObjectURL(blob);\n",
" a.download = filename;\n",
" div.appendChild(a);\n",
" a.click();\n",
" div.remove();\n",
" }\n",
" "
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"download(\"download_da0e540d-ca49-428f-90fc-827ae86c20e0\", \"major_scales_solos.zip\", 10852)"
]
},
"metadata": {}
}
]
}
]
}
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