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/Bokeh Mic Check.ipynb

Created February 25, 2016 04:01
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Bokeh Mic Check.ipynb
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"source": [
"# Bokeh Mic Check"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"_Original Widget+Bokeh 0.9 integration [<i class=\"fa fa-github\"></i> kwharrigan](https://gist.github.com/kwharrigan/3000a2e4bc1c81cbbde3)._"
]
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"source": [
"import time\n",
"import threading\n",
"\n",
"import numpy as np\n",
"\n",
"import pyaudio\n",
"\n",
"from ipywidgets import Button\n",
"from IPython import display\n",
"\n",
"from bokeh.plotting import figure, show, ColumnDataSource\n",
"from bokeh.io import push_notebook, output_notebook"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
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"outputs": [
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"data": {
"text/html": [
"\n",
" <div class=\"bk-banner\">\n",
" <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
" <span id=\"4ed2b105-1e34-4c76-a309-71a0bbd220be\">Loading BokehJS ...</span>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
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{
"data": {
"application/javascript": [
"\n",
"(function(global) {\n",
" function now() {\n",
" return new Date();\n",
" }\n",
"\n",
" if (typeof (window._bokeh_onload_callbacks) === \"undefined\") {\n",
" window._bokeh_onload_callbacks = [];\n",
" }\n",
"\n",
" function run_callbacks() {\n",
" window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
" delete window._bokeh_onload_callbacks\n",
" console.info(\"Bokeh: all callbacks have finished\");\n",
" }\n",
"\n",
" function load_libs(js_urls, callback) {\n",
" window._bokeh_onload_callbacks.push(callback);\n",
" if (window._bokeh_is_loading > 0) {\n",
" console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
" return null;\n",
" }\n",
" if (js_urls == null || js_urls.length === 0) {\n",
" run_callbacks();\n",
" return null;\n",
" }\n",
" console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
" window._bokeh_is_loading = js_urls.length;\n",
" for (var i = 0; i < js_urls.length; i++) {\n",
" var url = js_urls[i];\n",
" var s = document.createElement('script');\n",
" s.src = url;\n",
" s.async = false;\n",
" s.onreadystatechange = s.onload = function() {\n",
" window._bokeh_is_loading--;\n",
" if (window._bokeh_is_loading === 0) {\n",
" console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
" run_callbacks()\n",
" }\n",
" };\n",
" s.onerror = function() {\n",
" console.warn(\"failed to load library \" + url);\n",
" };\n",
" console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
" }\n",
" };\n",
"\n",
" var js_urls = ['https://cdn.pydata.org/bokeh/release/bokeh-0.11.1.min.js', 'https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.11.1.min.js', 'https://cdn.pydata.org/bokeh/release/bokeh-compiler-0.11.1.min.js'];\n",
"\n",
" var inline_js = [\n",
" function(Bokeh) {\n",
" Bokeh.set_log_level(\"info\");\n",
" },\n",
" \n",
" function(Bokeh) {\n",
" Bokeh.$(\"#4ed2b105-1e34-4c76-a309-71a0bbd220be\").text(\"BokehJS successfully loaded\");\n",
" },\n",
" function(Bokeh) {\n",
" console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.11.1.min.css\");\n",
" Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.11.1.min.css\");\n",
" console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.11.1.min.css\");\n",
" Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.11.1.min.css\");\n",
" }\n",
" ];\n",
"\n",
" function run_inline_js() {\n",
" for (var i = 0; i < inline_js.length; i++) {\n",
" inline_js[i](window.Bokeh);\n",
" }\n",
" }\n",
"\n",
" if (window._bokeh_is_loading === 0) {\n",
" console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
" run_inline_js();\n",
" } else {\n",
" load_libs(js_urls, function() {\n",
" console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
" run_inline_js();\n",
" });\n",
" }\n",
"}(this));"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"output_notebook()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Configuration Options for PyAudio\n",
"You'll almost certainly have to hack these for your specific hardware. _There will be kernel crashes._"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false,
"nbpresent": {
"id": "63f7898e-9b74-4422-8a8c-6730ee331b5d"
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},
"outputs": [],
"source": [
"FORMAT = pyaudio.paInt16 \n",
"CHANNELS = 2\n",
"RATE = 44100 / 2\n",
"INPUT_BLOCK_TIME = 0.05\n",
"INPUT_FRAMES_PER_BLOCK = int(RATE * INPUT_BLOCK_TIME)\n",
"DEVICE_INDEX = 0\n",
"FRAMES_PER_BUFFER = 512"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false,
"nbpresent": {
"id": "d4fa7dbf-cad2-43b3-b2ce-7ce8b81e2bd3"
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},
"outputs": [],
"source": [
"class MicThread(threading.Thread):\n",
" def run(self):\n",
" self.stream = pyaudio.PyAudio().open(\n",
" format=FORMAT,\n",
" rate=RATE,\n",
" channels=CHANNELS,\n",
" input_device_index=DEVICE_INDEX,\n",
" input=True,\n",
" output=False,\n",
" frames_per_buffer=FRAMES_PER_BUFFER\n",
" )\n",
" self.running = True\n",
" while self.running:\n",
" data_source.data.update(y=self.read())\n",
" push_notebook(handle=handle)\n",
" time.sleep(0.0025)\n",
" self.stream.close()\n",
" \n",
" def read(self):\n",
" return np.frombuffer(\n",
" self.stream.read(\n",
" INPUT_FRAMES_PER_BLOCK,\n",
" exception_on_overflow=False),\n",
" np.short)\n",
" \n",
" def stop(self):\n",
" self.running = False"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false,
"nbpresent": {
"id": "2c6cc5c1-4ce5-48c3-9e4a-9cdcc2bc3c1b"
},
"scrolled": true
},
"outputs": [],
"source": [
"start_button = Button(\n",
" description=' Start',\n",
" font_family=\"Noto Sans\",\n",
" font_size=\"5rem\",\n",
" button_style=\"primary\",\n",
" icon=\"fa-microphone\",\n",
" width=\"100%\")\n",
"\n",
"@start_button.on_click\n",
"def start(btn):\n",
" if btn.description == \" Start\":\n",
" t = MicThread()\n",
" t.start()\n",
" setattr(btn, \"_thread\", t)\n",
" btn.description = \" Stop\"\n",
" btn.icon = \"fa-microphone-slash\"\n",
" btn.button_style = \"danger\"\n",
" else: \n",
" btn._thread.stop()\n",
" btn.description = \" Start\"\n",
" btn.icon = \"fa-microphone\"\n",
" btn.button_style = \"primary\"\n",
"\n",
"start_button"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false,
"nbpresent": {
"id": "c80f21f3-e7f9-41f2-9fb3-d3658ae8ac16"
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"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
" <div class=\"plotdiv\" id=\"c10332e4-736d-4870-b658-13d94d5b4072\"></div>\n",
"<script type=\"text/javascript\">\n",
" \n",
" (function(global) {\n",
" function now() {\n",
" return new Date();\n",
" }\n",
" \n",
" if (typeof (window._bokeh_onload_callbacks) === \"undefined\") {\n",
" window._bokeh_onload_callbacks = [];\n",
" }\n",
" \n",
" function run_callbacks() {\n",
" window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
" delete window._bokeh_onload_callbacks\n",
" console.info(\"Bokeh: all callbacks have finished\");\n",
" }\n",
" \n",
" function load_libs(js_urls, callback) {\n",
" window._bokeh_onload_callbacks.push(callback);\n",
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" return null;\n",
" }\n",
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" run_callbacks();\n",
" return null;\n",
" }\n",
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" console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
" run_callbacks()\n",
" }\n",
" };\n",
" s.onerror = function() {\n",
" console.warn(\"failed to load library \" + url);\n",
" };\n",
" console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
" }\n",
" };var element = document.getElementById(\"c10332e4-736d-4870-b658-13d94d5b4072\");\n",
" if (element == null) {\n",
" console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'c10332e4-736d-4870-b658-13d94d5b4072' but no matching script tag was found. \")\n",
" return false;\n",
" }\n",
" \n",
" var js_urls = [];\n",
" \n",
" var inline_js = [\n",
" function(Bokeh) {\n",
" Bokeh.$(function() {\n",
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" \n",
" Bokeh.embed.embed_items(docs_json, render_items);\n",
" });\n",
" },\n",
" function(Bokeh) {\n",
" }\n",
" ];\n",
" \n",
" function run_inline_js() {\n",
" for (var i = 0; i < inline_js.length; i++) {\n",
" inline_js[i](window.Bokeh);\n",
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" console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
" run_inline_js();\n",
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" load_libs(js_urls, function() {\n",
" console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
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],
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"data_source = ColumnDataSource(dict(x=range(1000), y=range(1000)))\n",
"p = figure(plot_width=1300,\n",
" plot_height=625,\n",
" x_range=[0, 1000],\n",
" y_range=[-10000, 10000])\n",
"p.line(\"x\", \"y\", source=data_source)\n",
"handle = show(p)"
]
},
{
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