initial commit

Dockerfile

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+FROM swaggerapi/swagger-ui:v4.18.2 AS swagger-ui
+FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04
+
+ARG SERVICE_USER=service
+ARG SERVICE_UID=1001
+ARG SERVICE_GID=1001
+
+ENV PYTHON_VERSION=3.10
+ENV POETRY_VENV=/app/.venv
+
+RUN export DEBIAN_FRONTEND=noninteractive \
+    && apt-get -qq update \
+    && apt-get -qq install --no-install-recommends \
+    python${PYTHON_VERSION} \
+    python${PYTHON_VERSION}-venv \
+    python3-pip \
+    lua5.3 \
+    lua5.4 \
+    lua-check \
+    fswatch \
+    make \
+    ffmpeg \
+    redis \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN ln -s -f /usr/bin/python${PYTHON_VERSION} /usr/bin/python3 && \
+    ln -s -f /usr/bin/python${PYTHON_VERSION} /usr/bin/python && \
+    ln -s -f /usr/bin/pip3 /usr/bin/pip
+
+RUN python3 -m venv $POETRY_VENV \
+    && $POETRY_VENV/bin/pip install -U pip setuptools \
+    && $POETRY_VENV/bin/pip install poetry==1.6.1
+
+ENV PATH="${PATH}:${POETRY_VENV}/bin"
+
+WORKDIR /app
+
+COPY poetry.lock pyproject.toml ./
+
+RUN poetry config virtualenvs.in-project true
+RUN poetry install --no-root
+
+COPY . .
+COPY --from=swagger-ui /usr/share/nginx/html/swagger-ui.css swagger-ui-assets/swagger-ui.css
+COPY --from=swagger-ui /usr/share/nginx/html/swagger-ui-bundle.js swagger-ui-assets/swagger-ui-bundle.js
+
+RUN poetry install && rm -rf /root/.cache/pypoetry
+RUN $POETRY_VENV/bin/pip install --no-cache-dir torch==1.13.1+cu117 -f https://download.pytorch.org/whl/torch
+
+WORKDIR /app/reascripts/ReaSpeech
+RUN make publish
+WORKDIR /app
+RUN rm -rf reascripts
+
+RUN groupadd -g $SERVICE_GID $SERVICE_USER || true \
+    && useradd -u $SERVICE_UID -g $SERVICE_GID -d /app -s /usr/sbin/nologin $SERVICE_USER || true \
+    && chown -R $SERVICE_UID:$SERVICE_GID /app
+
+USER $SERVICE_USER
+
+ENTRYPOINT ["python3", "app/run.py"]
+
+EXPOSE 9000

LICENSE

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+MIT License
+
+Copyright (c) 2022 Ahmet Oner & Besim Alibegovic
+Portions Copyright (c) 2024 TeamAudio
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -1,11 +1,9 @@
 ---
-title: ReaSpeech Cloud
-emoji: 🚀
-colorFrom: indigo
+title: Reaspeech Eval
+emoji: 🗣️📝
+colorFrom: gray
 colorTo: yellow
 sdk: docker
 pinned: false
-license: mit
+app_port: 9000
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app/.gitignore

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+output/**/*/

app/faster_whisper/core.py

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+import os
+from io import StringIO
+from threading import Lock
+from typing import Union, BinaryIO
+
+import torch
+import tqdm
+import whisper
+from faster_whisper import WhisperModel
+
+from .utils import ResultWriter, WriteTXT, WriteSRT, WriteVTT, WriteTSV, WriteJSON
+
+ASR_ENGINE_OPTIONS = frozenset([
+    "task",
+    "language",
+    "initial_prompt",
+    "vad_filter",
+    "word_timestamps",
+])
+
+model_name = os.getenv("ASR_MODEL", "small")
+model_path = os.getenv("ASR_MODEL_PATH", os.path.join(os.path.expanduser("~"), ".cache", "whisper"))
+
+model_lock = Lock()
+
+model = None
+def load_model(next_model_name: str):
+    with model_lock:
+        global model_name, model
+
+        if model and next_model_name == model_name:
+            return model
+
+        if torch.cuda.is_available():
+            model = WhisperModel(model_size_or_path=next_model_name, device="cuda", compute_type="float32", download_root=model_path)
+        else:
+            model = WhisperModel(model_size_or_path=next_model_name, device="cpu", compute_type="int8", download_root=model_path)
+
+        model_name = next_model_name
+
+        return model
+
+
+def transcribe(audio, asr_options, output):
+    options_dict = {k: v for k, v in asr_options.items() if k in ASR_ENGINE_OPTIONS}
+
+    with model_lock:
+        segments = []
+        text = ""
+        segment_generator, info = model.transcribe(audio, beam_size=5, **options_dict)
+        with tqdm.tqdm(total=round(info.duration), unit='sec') as tqdm_pbar:
+            for segment in segment_generator:
+                segment_dict = segment._asdict()
+                if segment.words:
+                    segment_dict["words"] = [word._asdict() for word in segment.words]
+                segments.append(segment_dict)
+                text = text + segment.text
+                tqdm_pbar.update(segment.end - segment.start)
+        result = {
+            "language": options_dict.get("language", info.language),
+            "segments": segments,
+            "text": text
+        }
+
+    output_file = StringIO()
+    write_result(result, output_file, output)
+    output_file.seek(0)
+
+    return output_file
+
+
+def language_detection(audio):
+    # load audio and pad/trim it to fit 30 seconds
+    audio = whisper.pad_or_trim(audio)
+
+    # detect the spoken language
+    with model_lock:
+        segments, info = model.transcribe(audio, beam_size=5)
+        detected_lang_code = info.language
+
+    return detected_lang_code
+
+
+def write_result(
+        result: dict, file: BinaryIO, output: Union[str, None]
+):
+    if output == "srt":
+        WriteSRT(ResultWriter).write_result(result, file=file)
+    elif output == "vtt":
+        WriteVTT(ResultWriter).write_result(result, file=file)
+    elif output == "tsv":
+        WriteTSV(ResultWriter).write_result(result, file=file)
+    elif output == "json":
+        WriteJSON(ResultWriter).write_result(result, file=file)
+    elif output == "txt":
+        WriteTXT(ResultWriter).write_result(result, file=file)
+    else:
+        return 'Please select an output method!'

app/faster_whisper/utils.py

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+import json
+import os
+from typing import TextIO
+
+from faster_whisper.utils import format_timestamp
+
+
+class ResultWriter:
+    extension: str
+
+    def __init__(self, output_dir: str):
+        self.output_dir = output_dir
+
+    def __call__(self, result: dict, audio_path: str):
+        audio_basename = os.path.basename(audio_path)
+        output_path = os.path.join(self.output_dir, audio_basename + "." + self.extension)
+
+        with open(output_path, "w", encoding="utf-8") as f:
+            self.write_result(result, file=f)
+
+    def write_result(self, result: dict, file: TextIO):
+        raise NotImplementedError
+
+
+class WriteTXT(ResultWriter):
+    extension: str = "txt"
+
+    def write_result(self, result: dict, file: TextIO):
+        for segment in result["segments"]:
+            print(segment['text'].strip(), file=file, flush=True)
+
+
+class WriteVTT(ResultWriter):
+    extension: str = "vtt"
+
+    def write_result(self, result: dict, file: TextIO):
+        print("WEBVTT\n", file=file)
+        for segment in result["segments"]:
+            print(
+                f"{format_timestamp(segment['start'])} --> {format_timestamp(segment['end'])}\n"
+                f"{segment['text'].strip().replace('-->', '->')}\n",
+                file=file,
+                flush=True,
+            )
+
+
+class WriteSRT(ResultWriter):
+    extension: str = "srt"
+
+    def write_result(self, result: dict, file: TextIO):
+        for i, segment in enumerate(result["segments"], start=1):
+            # write srt lines
+            print(
+                f"{i}\n"
+                f"{format_timestamp(segment['start'], always_include_hours=True, decimal_marker=',')} --> "
+                f"{format_timestamp(segment['end'], always_include_hours=True, decimal_marker=',')}\n"
+                f"{segment['text'].strip().replace('-->', '->')}\n",
+                file=file,
+                flush=True,
+            )
+
+
+class WriteTSV(ResultWriter):
+    """
+    Write a transcript to a file in TSV (tab-separated values) format containing lines like:
+    <start time in integer milliseconds>\t<end time in integer milliseconds>\t<transcript text>
+
+    Using integer milliseconds as start and end times means there's no chance of interference from
+    an environment setting a language encoding that causes the decimal in a floating point number
+    to appear as a comma; also is faster and more efficient to parse & store, e.g., in C++.
+    """
+    extension: str = "tsv"
+
+    def write_result(self, result: dict, file: TextIO):
+        print("start", "end", "text", sep="\t", file=file)
+        for segment in result["segments"]:
+            print(round(1000 * segment['start']), file=file, end="\t")
+            print(round(1000 * segment['end']), file=file, end="\t")
+            print(segment['text'].strip().replace("\t", " "), file=file, flush=True)
+
+
+class WriteJSON(ResultWriter):
+    extension: str = "json"
+
+    def write_result(self, result: dict, file: TextIO):
+        json.dump(result, file)

app/openai_whisper/core.py

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+import os
+from io import StringIO
+from threading import Lock
+from typing import BinaryIO, Union
+
+import torch
+import whisper
+from whisper.utils import ResultWriter, WriteTXT, WriteSRT, WriteVTT, WriteTSV, WriteJSON
+
+ASR_ENGINE_OPTIONS = frozenset([
+    "task",
+    "language",
+    "initial_prompt",
+    "word_timestamps",
+])
+
+model_name = os.getenv("ASR_MODEL", "small")
+model_path = os.getenv("ASR_MODEL_PATH", os.path.join(os.path.expanduser("~"), ".cache", "whisper"))
+
+model_lock = Lock()
+
+model = None
+def load_model(next_model_name: str):
+    with model_lock:
+        global model_name, model
+
+        if model and next_model_name == model_name:
+            return model
+
+        if torch.cuda.is_available():
+            model = whisper.load_model(next_model_name, download_root=model_path).cuda()
+        else:
+            model = whisper.load_model(next_model_name, download_root=model_path)
+
+        model_name = next_model_name
+
+        return model
+
+
+def transcribe(audio, asr_options, output):
+    options_dict = {k: v for k, v in asr_options.items() if k in ASR_ENGINE_OPTIONS}
+
+    with model_lock:
+        result = model.transcribe(audio, **options_dict)
+
+    output_file = StringIO()
+    write_result(result, output_file, output)
+    output_file.seek(0)
+
+    return output_file
+
+
+def language_detection(audio):
+    # load audio and pad/trim it to fit 30 seconds
+    audio = whisper.pad_or_trim(audio)
+
+    # make log-Mel spectrogram and move to the same device as the model
+    mel = whisper.log_mel_spectrogram(audio).to(model.device)
+
+    # detect the spoken language
+    with model_lock:
+        _, probs = model.detect_language(mel)
+    detected_lang_code = max(probs, key=probs.get)
+
+    return detected_lang_code
+
+
+def write_result(
+        result: dict, file: BinaryIO, output: Union[str, None]
+):
+    options = {
+        'max_line_width': 1000,
+        'max_line_count': 10,
+        'highlight_words': False
+    }
+    if output == "srt":
+        WriteSRT(ResultWriter).write_result(result, file=file, options=options)
+    elif output == "vtt":
+        WriteVTT(ResultWriter).write_result(result, file=file, options=options)
+    elif output == "tsv":
+        WriteTSV(ResultWriter).write_result(result, file=file, options=options)
+    elif output == "json":
+        WriteJSON(ResultWriter).write_result(result, file=file, options=options)
+    elif output == "txt":
+        WriteTXT(ResultWriter).write_result(result, file=file, options=options)
+    else:
+        return 'Please select an output method!'

app/run.py

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+#!/usr/bin/env python
+
+import os
+import subprocess
+import sys
+import argparse
+
+argmap = {
+    '--redis-bin': {
+        'default': 'redis-server',
+        'help': 'Path to Redis server binary (default: %(default)s)' },
+    '--celery-broker-url': {
+        'default': 'redis://localhost:6379/0',
+        'help': 'Celery broker URL (default: %(default)s)' },
+    '--celery-result-backend-url': {
+        'default': 'redis://localhost:6379/0',
+        'help': 'Celery result backend URL (default: %(default)s)' },
+    '--output-directory': {
+        'default': 'app/output',
+        'help': 'Output directory (default: %(default)s)' },
+    '--output-url-prefix': {
+        'default': '/output',
+        'help': 'Output URL prefix (default: %(default)s)' },
+    '--ffmpeg-bin': {
+        'default': 'ffmpeg',
+        'help': 'Path to ffmpeg binary (default: %(default)s)' },
+    '--asr-engine': {
+        'default': os.getenv('ASR_ENGINE', 'faster_whisper'),
+        'help': 'ASR engine to use (default: %(default)s)' },
+    '--asr-model': {
+        'default': os.getenv('ASR_MODEL', 'small'),
+        'help': 'ASR model to use (default: %(default)s)' },
+}
+
+parser = argparse.ArgumentParser()
+for arg, kwargs in argmap.items():
+    parser.add_argument(arg, **kwargs)
+
+args = parser.parse_args()
+
+os.environ['CELERY_BROKER_URL'] = args.celery_broker_url
+os.environ['CELERY_RESULT_BACKEND'] = args.celery_result_backend_url
+os.environ['OUTPUT_DIRECTORY'] = args.output_directory
+os.environ['OUTPUT_URL_PREFIX'] = args.output_url_prefix
+os.environ['FFMPEG_BIN'] = args.ffmpeg_bin
+os.environ['ASR_ENGINE'] = args.asr_engine
+os.environ['ASR_MODEL'] = args.asr_model
+
+# Start Redis
+print('Starting database...', file=sys.stderr)
+subprocess.Popen([args.redis_bin], stdout=subprocess.DEVNULL)
+
+# Start Celery
+print('Starting worker...', file=sys.stderr)
+subprocess.Popen(['celery', '-A', 'app.worker.celery', 'worker', '--pool=solo', '--loglevel=info'])
+
+# Start Gunicorn
+print('Starting application...', file=sys.stderr)
+subprocess.Popen(['gunicorn', '--bind', '0.0.0.0:9000', '--workers', '1', '--timeout', '0', 'app.webservice:app', '-k', 'uvicorn.workers.UvicornWorker'])
+
+# Wait for any process to exit
+status = os.WEXITSTATUS(os.wait()[1])
+print('Process exited with status', status, file=sys.stderr)
+
+# Terminate any child processes
+print('Terminating child processes...', file=sys.stderr)
+os.system('pkill -P %d' % os.getpid())
+
+# Exit with status of process that exited
+print('Exiting with status', status, file=sys.stderr)
+sys.exit(status)

app/static/css/bootstrap-icons.min.css

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+/*!
+ * Bootstrap Icons v1.10.5 (https://icons.getbootstrap.com/)
+ * Copyright 2019-2023 The Bootstrap Authors
+ * Licensed under MIT (https://github.com/twbs/icons/blob/main/LICENSE)
+ */@font-face{font-display:block;font-family:bootstrap-icons;src:url("fonts/bootstrap-icons.woff2?1fa40e8900654d2863d011707b9fb6f2") format("woff2"),url("fonts/bootstrap-icons.woff?1fa40e8900654d2863d011707b9fb6f2") format("woff")}.bi::before,[class*=" 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+  */
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W{static get NAME(){return"button"}toggle(){this._element.setAttribute("aria-pressed",this._element.classList.toggle("active"))}static jQueryInterface(t){return this.each((function(){const e=Y.getOrCreateInstance(this);"toggle"===t&&e[t]()}))}}N.on(document,"click.bs.button.data-api",X,(t=>{t.preventDefault();const e=t.target.closest(X);Y.getOrCreateInstance(e).toggle()})),m(Y);const U=".bs.swipe",G=`touchstart${U}`,J=`touchmove${U}`,Z=`touchend${U}`,tt=`pointerdown${U}`,et=`pointerup${U}`,it={endCallback:null,leftCallback:null,rightCallback:null},nt={endCallback:"(function|null)",leftCallback:"(function|null)",rightCallback:"(function|null)"};class st extends H{constructor(t,e){super(),this._element=t,t&&st.isSupported()&&(this._config=this._getConfig(e),this._deltaX=0,this._supportPointerEvents=Boolean(window.PointerEvent),this._initEvents())}static get Default(){return it}static get DefaultType(){return nt}static get 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t.defaultInterval=t.interval,t}_addEventListeners(){this._config.keyboard&&N.on(this._element,ft,(t=>this._keydown(t))),"hover"===this._config.pause&&(N.on(this._element,pt,(()=>this.pause())),N.on(this._element,mt,(()=>this._maybeEnableCycle()))),this._config.touch&&st.isSupported()&&this._addTouchEventListeners()}_addTouchEventListeners(){for(const t of z.find(".carousel-item img",this._element))N.on(t,gt,(t=>t.preventDefault()));const t={leftCallback:()=>this._slide(this._directionToOrder(ct)),rightCallback:()=>this._slide(this._directionToOrder(ht)),endCallback:()=>{"hover"===this._config.pause&&(this.pause(),this.touchTimeout&&clearTimeout(this.touchTimeout),this.touchTimeout=setTimeout((()=>this._maybeEnableCycle()),500+this._config.interval))}};this._swipeHelper=new st(this._element,t)}_keydown(t){if(/input|textarea/i.test(t.target.tagName))return;const e=Tt[t.key];e&&(t.preventDefault(),this._slide(this._directionToOrder(e)))}_getItemIndex(t){return this._getItems().indexOf(t)}_setActiveIndicatorElement(t){if(!this._indicatorsElement)return;const e=z.findOne(wt,this._indicatorsElement);e.classList.remove(yt),e.removeAttribute("aria-current");const i=z.findOne(`[data-bs-slide-to="${t}"]`,this._indicatorsElement);i&&(i.classList.add(yt),i.setAttribute("aria-current","true"))}_updateInterval(){const t=this._activeElement||this._getActive();if(!t)return;const e=Number.parseInt(t.getAttribute("data-bs-interval"),10);this._config.interval=e||this._config.defaultInterval}_slide(t,e=null){if(this._isSliding)return;const i=this._getActive(),n=t===at,s=e||b(this._getItems(),i,n,this._config.wrap);if(s===i)return;const o=this._getItemIndex(s),r=e=>N.trigger(this._element,e,{relatedTarget:s,direction:this._orderToDirection(t),from:this._getItemIndex(i),to:o});if(r(dt).defaultPrevented)return;if(!i||!s)return;const a=Boolean(this._interval);this.pause(),this._isSliding=!0,this._setActiveIndicatorElement(o),this._activeElement=s;const 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s(t){i.add(t.name),[].concat(t.requires||[],t.requiresIfExists||[]).forEach((function(t){if(!i.has(t)){var n=e.get(t);n&&s(n)}})),n.push(t)}return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||s(t)})),n}var fi={placement:"bottom",modifiers:[],strategy:"absolute"};function pi(){for(var t=arguments.length,e=new Array(t),i=0;i<t;i++)e[i]=arguments[i];return!e.some((function(t){return!(t&&"function"==typeof t.getBoundingClientRect)}))}function mi(t){void 0===t&&(t={});var e=t,i=e.defaultModifiers,n=void 0===i?[]:i,s=e.defaultOptions,o=void 0===s?fi:s;return function(t,e,i){void 0===i&&(i=o);var s,r,a={placement:"bottom",orderedModifiers:[],options:Object.assign({},fi,o),modifiersData:{},elements:{reference:t,popper:e},attributes:{},styles:{}},l=[],c=!1,h={state:a,setOptions:function(i){var s="function"==typeof 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vi=Object.freeze(Object.defineProperty({__proto__:null,afterMain:ae,afterRead:se,afterWrite:he,applyStyles:_e,arrow:je,auto:Kt,basePlacements:Qt,beforeMain:oe,beforeRead:ie,beforeWrite:le,bottom:Rt,clippingParents:Ut,computeStyles:Be,createPopper:bi,createPopperBase:gi,createPopperLite:_i,detectOverflow:ii,end:Yt,eventListeners:Re,flip:si,hide:ai,left:Vt,main:re,modifierPhases:de,offset:li,placements:ee,popper:Jt,popperGenerator:mi,popperOffsets:ci,preventOverflow:hi,read:ne,reference:Zt,right:qt,start:Xt,top:zt,variationPlacements:te,viewport:Gt,write:ce},Symbol.toStringTag,{value:"Module"})),yi="dropdown",wi=".bs.dropdown",Ai=".data-api",Ei="ArrowUp",Ti="ArrowDown",Ci=`hide${wi}`,Oi=`hidden${wi}`,xi=`show${wi}`,ki=`shown${wi}`,Li=`click${wi}${Ai}`,Si=`keydown${wi}${Ai}`,Di=`keyup${wi}${Ai}`,$i="show",Ii='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',Ni=`${Ii}.${$i}`,Pi=".dropdown-menu",Mi=p()?"top-end":"top-start",ji=p()?"top-start":"top-end",Fi=p()?"bottom-end":"bottom-start",Hi=p()?"bottom-start":"bottom-end",Wi=p()?"left-start":"right-start",Bi=p()?"right-start":"left-start",zi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Ri={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class qi extends W{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=z.next(this._element,Pi)[0]||z.prev(this._element,Pi)[0]||z.findOne(Pi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return zi}static get DefaultType(){return Ri}static get NAME(){return yi}toggle(){return this._isShown()?this.hide():this.show()}show(){if(l(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!N.trigger(this._element,xi,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add($i),this._element.classList.add($i),N.trigger(this._element,ki,t)}}hide(){if(l(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!N.trigger(this._element,Ci,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.off(t,"mouseover",h);this._popper&&this._popper.destroy(),this._menu.classList.remove($i),this._element.classList.remove($i),this._element.setAttribute("aria-expanded","false"),F.removeDataAttribute(this._menu,"popper"),N.trigger(this._element,Oi,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!o(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${yi.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===vi)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:o(this._config.reference)?t=r(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const e=this._getPopperConfig();this._popper=bi(t,this._menu,e)}_isShown(){return this._menu.classList.contains($i)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Wi;if(t.classList.contains("dropstart"))return Bi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ji:Mi:e?Hi:Fi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(F.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...g(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=z.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>a(t)));i.length&&b(i,e,t===Ti,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=qi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=z.find(Ni);for(const i of e){const e=qi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ei,Ti].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ii)?this:z.prev(this,Ii)[0]||z.next(this,Ii)[0]||z.findOne(Ii,t.delegateTarget.parentNode),o=qi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}N.on(document,Si,Ii,qi.dataApiKeydownHandler),N.on(document,Si,Pi,qi.dataApiKeydownHandler),N.on(document,Li,qi.clearMenus),N.on(document,Di,qi.clearMenus),N.on(document,Li,Ii,(function(t){t.preventDefault(),qi.getOrCreateInstance(this).toggle()})),m(qi);const Vi="backdrop",Ki="show",Qi=`mousedown.bs.${Vi}`,Xi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Yi={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Ui extends H{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Yi}static get NAME(){return Vi}show(t){if(!this._config.isVisible)return void g(t);this._append();const e=this._getElement();this._config.isAnimated&&d(e),e.classList.add(Ki),this._emulateAnimation((()=>{g(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),g(t)}))):g(t)}dispose(){this._isAppended&&(N.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=r(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),N.on(t,Qi,(()=>{g(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){_(t,this._getElement(),this._config.isAnimated)}}const Gi=".bs.focustrap",Ji=`focusin${Gi}`,Zi=`keydown.tab${Gi}`,tn="backward",en={autofocus:!0,trapElement:null},nn={autofocus:"boolean",trapElement:"element"};class sn extends H{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return en}static get DefaultType(){return nn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),N.off(document,Gi),N.on(document,Ji,(t=>this._handleFocusin(t))),N.on(document,Zi,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,N.off(document,Gi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=z.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===tn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?tn:"forward")}}const on=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",rn=".sticky-top",an="padding-right",ln="margin-right";class cn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,an,(e=>e+t)),this._setElementAttributes(on,an,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,an),this._resetElementAttributes(on,an),this._resetElementAttributes(rn,ln)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&F.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=F.getDataAttribute(t,e);null!==i?(F.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(o(t))e(t);else for(const i of z.find(t,this._element))e(i)}}const hn=".bs.modal",dn=`hide${hn}`,un=`hidePrevented${hn}`,fn=`hidden${hn}`,pn=`show${hn}`,mn=`shown${hn}`,gn=`resize${hn}`,_n=`click.dismiss${hn}`,bn=`mousedown.dismiss${hn}`,vn=`keydown.dismiss${hn}`,yn=`click${hn}.data-api`,wn="modal-open",An="show",En="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},Cn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class On extends W{constructor(t,e){super(t,e),this._dialog=z.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new cn,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return Cn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||N.trigger(this._element,pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(wn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(N.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){N.off(window,hn),N.off(this._dialog,hn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Ui({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=z.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),d(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,N.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){N.on(this._element,vn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),N.on(window,gn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),N.on(this._element,bn,(t=>{N.one(this._element,_n,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(wn),this._resetAdjustments(),this._scrollBar.reset(),N.trigger(this._element,fn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(N.trigger(this._element,un).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(En)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(En),this._queueCallback((()=>{this._element.classList.remove(En),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=p()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=p()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=On.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}N.on(document,yn,'[data-bs-toggle="modal"]',(function(t){const e=z.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),N.one(e,pn,(t=>{t.defaultPrevented||N.one(e,fn,(()=>{a(this)&&this.focus()}))}));const i=z.findOne(".modal.show");i&&On.getInstance(i).hide(),On.getOrCreateInstance(e).toggle(this)})),R(On),m(On);const xn=".bs.offcanvas",kn=".data-api",Ln=`load${xn}${kn}`,Sn="show",Dn="showing",$n="hiding",In=".offcanvas.show",Nn=`show${xn}`,Pn=`shown${xn}`,Mn=`hide${xn}`,jn=`hidePrevented${xn}`,Fn=`hidden${xn}`,Hn=`resize${xn}`,Wn=`click${xn}${kn}`,Bn=`keydown.dismiss${xn}`,zn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class qn extends W{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return zn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||N.trigger(this._element,Nn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new cn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Dn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Sn),this._element.classList.remove(Dn),N.trigger(this._element,Pn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(N.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add($n),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Sn,$n),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new cn).reset(),N.trigger(this._element,Fn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Ui({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():N.trigger(this._element,jn)}:null})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_addEventListeners(){N.on(this._element,Bn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():N.trigger(this._element,jn))}))}static jQueryInterface(t){return this.each((function(){const e=qn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}N.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=z.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this))return;N.one(e,Fn,(()=>{a(this)&&this.focus()}));const i=z.findOne(In);i&&i!==e&&qn.getInstance(i).hide(),qn.getOrCreateInstance(e).toggle(this)})),N.on(window,Ln,(()=>{for(const t of z.find(In))qn.getOrCreateInstance(t).show()})),N.on(window,Hn,(()=>{for(const t of z.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&qn.getOrCreateInstance(t).hide()})),R(qn),m(qn);const Vn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Yn={allowList:Vn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Un={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Gn={entry:"(string|element|function|null)",selector:"(string|element)"};class Jn extends H{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Yn}static get DefaultType(){return Un}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Gn)}_setContent(t,e,i){const n=z.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?o(e)?this._putElementInTemplate(r(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Xn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return g(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Zn=new Set(["sanitize","allowList","sanitizeFn"]),ts="fade",es="show",is=".modal",ns="hide.bs.modal",ss="hover",os="focus",rs={AUTO:"auto",TOP:"top",RIGHT:p()?"left":"right",BOTTOM:"bottom",LEFT:p()?"right":"left"},as={allowList:Vn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},ls={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cs extends W{constructor(t,e){if(void 0===vi)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return as}static get DefaultType(){return ls}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),N.off(this._element.closest(is),ns,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=N.trigger(this._element,this.constructor.eventName("show")),e=(c(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),N.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._queueCallback((()=>{N.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!N.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.off(t,"mouseover",h);this._activeTrigger.click=!1,this._activeTrigger[os]=!1,this._activeTrigger[ss]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),N.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ts,es),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ts),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Jn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ts)}_isShown(){return this.tip&&this.tip.classList.contains(es)}_createPopper(t){const e=g(this._config.placement,[this,t,this._element]),i=rs[e.toUpperCase()];return bi(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return g(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...g(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)N.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===ss?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===ss?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");N.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?os:ss]=!0,e._enter()})),N.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?os:ss]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},N.on(this._element.closest(is),ns,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=F.getDataAttributes(this._element);for(const t of Object.keys(e))Zn.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:r(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=cs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}m(cs);const hs={...cs.Default,content:"",offset:[0,8],placement:"right",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>',trigger:"click"},ds={...cs.DefaultType,content:"(null|string|element|function)"};class us extends cs{static get Default(){return hs}static get DefaultType(){return ds}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{".popover-header":this._getTitle(),".popover-body":this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=us.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}m(us);const fs=".bs.scrollspy",ps=`activate${fs}`,ms=`click${fs}`,gs=`load${fs}.data-api`,_s="active",bs="[href]",vs=".nav-link",ys=`${vs}, .nav-item > ${vs}, .list-group-item`,ws={offset:null,rootMargin:"0px 0px -25%",smoothScroll:!1,target:null,threshold:[.1,.5,1]},As={offset:"(number|null)",rootMargin:"string",smoothScroll:"boolean",target:"element",threshold:"array"};class Es extends W{constructor(t,e){super(t,e),this._targetLinks=new Map,this._observableSections=new Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return ws}static get DefaultType(){return As}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=r(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(N.off(this._config.target,ms),N.on(this._config.target,ms,bs,(t=>{const e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=z.find(bs,this._config.target);for(const e of t){if(!e.hash||l(e))continue;const t=z.findOne(decodeURI(e.hash),this._element);a(t)&&(this._targetLinks.set(decodeURI(e.hash),e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(_s),this._activateParents(t),N.trigger(this._element,ps,{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))z.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(_s);else for(const e of z.parents(t,".nav, .list-group"))for(const t of z.prev(e,ys))t.classList.add(_s)}_clearActiveClass(t){t.classList.remove(_s);const e=z.find(`${bs}.${_s}`,t);for(const t of e)t.classList.remove(_s)}static jQueryInterface(t){return this.each((function(){const e=Es.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}N.on(window,gs,(()=>{for(const t of z.find('[data-bs-spy="scroll"]'))Es.getOrCreateInstance(t)})),m(Es);const Ts=".bs.tab",Cs=`hide${Ts}`,Os=`hidden${Ts}`,xs=`show${Ts}`,ks=`shown${Ts}`,Ls=`click${Ts}`,Ss=`keydown${Ts}`,Ds=`load${Ts}`,$s="ArrowLeft",Is="ArrowRight",Ns="ArrowUp",Ps="ArrowDown",Ms="Home",js="End",Fs="active",Hs="fade",Ws="show",Bs=":not(.dropdown-toggle)",zs='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',Rs=`.nav-link${Bs}, .list-group-item${Bs}, [role="tab"]${Bs}, ${zs}`,qs=`.${Fs}[data-bs-toggle="tab"], .${Fs}[data-bs-toggle="pill"], .${Fs}[data-bs-toggle="list"]`;class Vs extends W{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),N.on(this._element,Ss,(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?N.trigger(e,Cs,{relatedTarget:t}):null;N.trigger(t,xs,{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(Fs),this._activate(z.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),N.trigger(t,ks,{relatedTarget:e})):t.classList.add(Ws)}),t,t.classList.contains(Hs)))}_deactivate(t,e){t&&(t.classList.remove(Fs),t.blur(),this._deactivate(z.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),N.trigger(t,Os,{relatedTarget:e})):t.classList.remove(Ws)}),t,t.classList.contains(Hs)))}_keydown(t){if(![$s,Is,Ns,Ps,Ms,js].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=this._getChildren().filter((t=>!l(t)));let i;if([Ms,js].includes(t.key))i=e[t.key===Ms?0:e.length-1];else{const n=[Is,Ps].includes(t.key);i=b(e,t.target,n,!0)}i&&(i.focus({preventScroll:!0}),Vs.getOrCreateInstance(i).show())}_getChildren(){return z.find(Rs,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const e=z.getElementFromSelector(t);e&&(this._setAttributeIfNotExists(e,"role","tabpanel"),t.id&&this._setAttributeIfNotExists(e,"aria-labelledby",`${t.id}`))}_toggleDropDown(t,e){const i=this._getOuterElement(t);if(!i.classList.contains("dropdown"))return;const n=(t,n)=>{const s=z.findOne(t,i);s&&s.classList.toggle(n,e)};n(".dropdown-toggle",Fs),n(".dropdown-menu",Ws),i.setAttribute("aria-expanded",e)}_setAttributeIfNotExists(t,e,i){t.hasAttribute(e)||t.setAttribute(e,i)}_elemIsActive(t){return t.classList.contains(Fs)}_getInnerElement(t){return t.matches(Rs)?t:z.findOne(Rs,t)}_getOuterElement(t){return t.closest(".nav-item, .list-group-item")||t}static jQueryInterface(t){return this.each((function(){const e=Vs.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}N.on(document,Ls,zs,(function(t){["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this)||Vs.getOrCreateInstance(this).show()})),N.on(window,Ds,(()=>{for(const t of z.find(qs))Vs.getOrCreateInstance(t)})),m(Vs);const Ks=".bs.toast",Qs=`mouseover${Ks}`,Xs=`mouseout${Ks}`,Ys=`focusin${Ks}`,Us=`focusout${Ks}`,Gs=`hide${Ks}`,Js=`hidden${Ks}`,Zs=`show${Ks}`,to=`shown${Ks}`,eo="hide",io="show",no="showing",so={animation:"boolean",autohide:"boolean",delay:"number"},oo={animation:!0,autohide:!0,delay:5e3};class ro extends W{constructor(t,e){super(t,e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get Default(){return oo}static get DefaultType(){return so}static get NAME(){return"toast"}show(){N.trigger(this._element,Zs).defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(eo),d(this._element),this._element.classList.add(io,no),this._queueCallback((()=>{this._element.classList.remove(no),N.trigger(this._element,to),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this.isShown()&&(N.trigger(this._element,Gs).defaultPrevented||(this._element.classList.add(no),this._queueCallback((()=>{this._element.classList.add(eo),this._element.classList.remove(no,io),N.trigger(this._element,Js)}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this.isShown()&&this._element.classList.remove(io),super.dispose()}isShown(){return this._element.classList.contains(io)}_maybeScheduleHide(){this._config.autohide&&(this._hasMouseInteraction||this._hasKeyboardInteraction||(this._timeout=setTimeout((()=>{this.hide()}),this._config.delay)))}_onInteraction(t,e){switch(t.type){case"mouseover":case"mouseout":this._hasMouseInteraction=e;break;case"focusin":case"focusout":this._hasKeyboardInteraction=e}if(e)return void this._clearTimeout();const i=t.relatedTarget;this._element===i||this._element.contains(i)||this._maybeScheduleHide()}_setListeners(){N.on(this._element,Qs,(t=>this._onInteraction(t,!0))),N.on(this._element,Xs,(t=>this._onInteraction(t,!1))),N.on(this._element,Ys,(t=>this._onInteraction(t,!0))),N.on(this._element,Us,(t=>this._onInteraction(t,!1)))}_clearTimeout(){clearTimeout(this._timeout),this._timeout=null}static jQueryInterface(t){return this.each((function(){const e=ro.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}return R(ro),m(ro),{Alert:Q,Button:Y,Carousel:xt,Collapse:Bt,Dropdown:qi,Modal:On,Offcanvas:qn,Popover:us,ScrollSpy:Es,Tab:Vs,Toast:ro,Tooltip:cs}}));
+//# sourceMappingURL=bootstrap.bundle.min.js.map

app/static/reascripts/FXPerm/.gitignore

@@ -0,0 +1 @@
+*.luac

app/static/reascripts/ReaSpeech/.gitignore

@@ -0,0 +1 @@
+*.luac

app/templates/base.html

@@ -0,0 +1,33 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="utf-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1">
+    <title>{% if title %}{{ title }} - {% endif %}ReaSpeech</title>
+    <link href="/static/css/bootstrap.min.css" rel="stylesheet">
+    <link href="/static/css/bootstrap-icons.min.css" rel="stylesheet">
+    <style>
+      .navbar-brand img {
+        height: 50px;
+      }
+    </style>
+  </head>
+
+  <body>
+    <script src="/static/js/bootstrap.bundle.min.js"></script>
+
+    {% include "nav.html" %}
+
+    {% block content %}{% endblock %}
+
+    <script>
+      const reascriptLinks = document.querySelectorAll(".reascript-link");
+
+      reascriptLinks.forEach((reascriptLink) => {
+        const name = reascriptLink.dataset.name;
+        const host = location.host;
+        reascriptLink.href = '/reascript?name=' + name + '&host=' + host;
+      });
+    </script>
+  </body>
+</html>

app/templates/index.html

@@ -0,0 +1,48 @@
+{% extends "base.html" %}
+
+{% block content %}
+  <div class="container">
+    <div class="mt-4 p-5 bg-dark text-white rounded">
+      <h1 class="text-info">
+        <i class="bi-card-text"></i>
+        ReaSpeech
+      </h1>
+      
+      <p>
+        ReaSpeech is a REAPER extension for Automatic Speech Recognition.
+      </p>
+
+      <h2>1. Install ReaImGui</h2>
+      <p>
+        ReaSpeech depends on the ReaImGui REAPER extension, which is distributed
+        via <b>ReaPack</b> through the default <b>ReaTeam Extensions</b> repository.
+      </p>
+      <ul>
+        <li>
+          <i class="bi-box"></i>
+          <a href="https://reapack.com/" class="link-light" target="_blank">Install ReaPack</a> if necessary
+        </li>
+        <li>In REAPER, go to Extensions &gt; ReaPack &gt; Browse packages...</li>
+        <li>Type "imgui" into the Filter box</li>
+        <li>Right-click on "ReaImGui: ReaScript binding for Dear ImGui"</li>
+        <li>Select "Install", and then click the "Apply" button on the bottom-right</li>
+      </ul>
+
+      <h2>2. Install ReaScript</h2>
+      <ul>
+        <li>
+          <i class="bi-download"></i>
+          <a href="#" class="reascript-link link-light" data-name="ReaSpeech">Download ReaScript</a>
+        </li>
+        <li>Save the script to your REAPER Scripts folder (%APPDATA%\REAPER\Scripts on Windows)</li>
+        <li>Actions &gt; Show action list... &gt; New action... &gt; Load ReaScript...</li>
+      </ul>
+
+      <h2>3. Run ReaSpeech</h2>
+      <ul>
+        <li>Actions &gt; Show action list...</li>
+        <li>Click "Script: ReaSpeech.lua" and then click "Run"</li>
+      </ul>
+    </div>
+  </div>
+{% endblock %}

app/templates/nav.html

@@ -0,0 +1,15 @@
+<nav class="navbar navbar-expand-lg navbar-light bg-light">
+  <div class="container">
+    <a class="navbar-brand" href="https://techaud.io/">
+      <img src="/static/img/tech-audio-logo.png" alt="Tech Audio">
+    </a>
+    <ul class="navbar-nav me-auto mb-2 mb-lg-0">
+      <li class="nav-item">
+        <a class="nav-link active" aria-current="page" href="/reaspeech">ReaSpeech</a>
+      </li>
+      <li class="nav-item">
+        <a class="nav-link" href="/docs">Whisper API</a>
+      </li>
+    </ul>
+  </div>
+</nav>

app/templates/reascript.lua

@@ -0,0 +1,33 @@
+-- ReaScript launcher for {{ name }}
+
+Script = {
+  name = "{{ name }}",
+  host = "{{ host }}",
+  lua = _VERSION:match('[%d.]+'),
+  timeout = 30000,
+}
+
+function Script:load()
+  local curl = "curl"
+  local tempfile = os.tmpname()
+  if reaper.GetOS():find("Win") then
+    tempfile = os.getenv("TEMP") .. tempfile
+  else
+    curl = "/usr/bin/curl"
+  end
+  local command = curl
+    .. " -sSf http://" .. self.host .. "/static/reascripts/" .. self.name
+    .. "/" .. self.name .. "-" .. self.lua .. '.luac -o "' .. tempfile .. '"'
+  local result = reaper.ExecProcess(command, self.timeout)
+  local offset = result:find("\n")
+  local code = tonumber(result:sub(1, offset - 1))
+  local output = result:sub(offset + 1, -1)
+  if code == 0 then
+    loadfile(tempfile)()
+  else
+    reaper.ShowConsoleMsg(output)
+  end
+  os.remove(tempfile)
+end
+
+Script:load()

app/util/apierror.py

@@ -0,0 +1,14 @@
+from fastapi.responses import JSONResponse
+
+class APIError(Exception):
+    def __init__(self, error):
+        self.error = error
+
+    def to_response(self):
+        return error_response(self.error)
+
+def error_dict(error):
+    return {"error": str(error)}
+
+def error_response(error):
+    return JSONResponse(status_code=500, content=error_dict(error))

app/util/audio.py

@@ -0,0 +1,47 @@
+import os
+from typing import BinaryIO
+
+import ffmpeg
+import numpy as np
+
+SAMPLE_RATE = 16000
+
+FFMPEG_BIN = os.getenv("FFMPEG_BIN", "ffmpeg")
+
+def load_audio(file: BinaryIO, encode=True, sr: int = SAMPLE_RATE):
+    """
+    Open an audio file object and read as mono waveform, resampling as necessary.
+    Modified from https://github.com/openai/whisper/blob/main/whisper/audio.py to accept a file object
+    Parameters
+    ----------
+    file: BinaryIO
+        The audio file like object
+    encode: Boolean
+        If true, encode audio stream to WAV before sending to whisper
+    sr: int
+        The sample rate to resample the audio if necessary
+    Returns
+    -------
+    A NumPy array containing the audio waveform, in float32 dtype.
+    """
+    if encode:
+        try:
+            # This launches a subprocess to decode audio while down-mixing and resampling as necessary.
+            # Requires the ffmpeg CLI and `ffmpeg-python` package to be installed.
+            out, _ = (
+                ffmpeg.input("pipe:", threads=0)
+                .output("-", format="s16le", acodec="pcm_s16le", ac=1, ar=sr)
+                .run(cmd=FFMPEG_BIN, capture_stdout=True, capture_stderr=True, input=file.read())
+            )
+        except ffmpeg.Error as e:
+            raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e
+    else:
+        out = file.read()
+
+    try:
+        return np.frombuffer(out, np.int16).flatten().astype(np.float32) / 32768.0
+    except Exception as e:
+        # TODO: Unsupported file formats can raise the following exception:
+        # ValueError: buffer size must be a multiple of element size
+        # This should be made more robust.
+        raise RuntimeError("Failed to load audio") from e

app/webservice.py

@@ -0,0 +1,183 @@
+from typing import Union, Annotated
+import importlib.metadata
+import logging
+import os
+import tempfile
+
+from celery.result import AsyncResult
+from fastapi import FastAPI, File, Query, Request, UploadFile, applications
+from fastapi.openapi.docs import get_swagger_ui_html
+from fastapi.responses import HTMLResponse, JSONResponse, PlainTextResponse, RedirectResponse, StreamingResponse
+from fastapi.staticfiles import StaticFiles
+from fastapi.templating import Jinja2Templates
+from whisper import tokenizer
+import aiofiles
+
+from .util import apierror
+from .worker import transcribe
+
+logging.basicConfig(format='[%(asctime)s] [%(name)s] [%(levelname)s] %(message)s', level=logging.INFO, force=True)
+logger = logging.getLogger(__name__)
+
+ASR_ENGINE = os.getenv("ASR_ENGINE", "faster_whisper")
+
+ASR_OPTIONS = frozenset([
+    "task",
+    "language",
+    "initial_prompt",
+    "encode",
+    "output",
+    "vad_filter",
+    "word_timestamps",
+    "model_name",
+])
+
+DEFAULT_MODEL_NAME = os.getenv("ASR_MODEL", "small")
+
+LANGUAGE_CODES = sorted(list(tokenizer.LANGUAGES.keys()))
+
+projectMetadata = importlib.metadata.metadata('reaspeech')
+app = FastAPI(
+    # docs_url=None,
+    # redoc_url=None,
+    title=projectMetadata['Name'].title().replace('-', ' '),
+    description=projectMetadata['Summary'],
+    version=projectMetadata['Version'],
+    contact={
+        "url": projectMetadata['Home-page']
+    },
+    swagger_ui_parameters={"defaultModelsExpandDepth": -1},
+    license_info={
+        "name": "MIT License",
+        "url": projectMetadata['License']
+    }
+)
+
+assets_path = os.getcwd() + "/swagger-ui-assets"
+if os.path.exists(assets_path + "/swagger-ui.css") and os.path.exists(assets_path + "/swagger-ui-bundle.js"):
+    app.mount("/assets", StaticFiles(directory=assets_path), name="static")
+
+    def swagger_monkey_patch(*args, **kwargs):
+        return get_swagger_ui_html(
+            *args,
+            **kwargs,
+            swagger_favicon_url="",
+            swagger_css_url="/assets/swagger-ui.css",
+            swagger_js_url="/assets/swagger-ui-bundle.js",
+        )
+
+    applications.get_swagger_ui_html = swagger_monkey_patch
+
+static_path = os.getcwd() + "/app/static"
+app.mount("/static", StaticFiles(directory=static_path), name="static")
+
+templates_path = os.getcwd() + "/app/templates"
+templates = Jinja2Templates(directory=templates_path)
+
+output_directory = os.environ.get("OUTPUT_DIRECTORY", os.getcwd() + "/app/output")
+output_url_prefix = os.environ.get("OUTPUT_URL_PREFIX", "/output")
+app.mount(output_url_prefix, StaticFiles(directory=output_directory), name="output")
+
+@app.exception_handler(apierror.APIError)
+async def api_exception_handler(request: Request, exc: apierror.APIError):
+    return exc.to_response()
+
+@app.exception_handler(500)
+async def internal_exception_handler(request: Request, exc: Exception):
+    return apierror.error_response(exc)
+
+@app.get("/", response_class=RedirectResponse, include_in_schema=False)
+async def index():
+    return "/reaspeech"
+
+@app.get("/reaspeech", response_class=HTMLResponse, include_in_schema=False)
+async def reaspeech(request: Request):
+    return templates.TemplateResponse("index.html", {"request": request})
+
+@app.get("/reascript", response_class=PlainTextResponse, include_in_schema=False)
+async def reascript(request: Request, name: str, host: str):
+    return templates.TemplateResponse("reascript.lua", {
+            "request": request,
+            "name": name,
+            "host": host
+        },
+        media_type='application/x-lua',
+        headers={
+            'Content-Disposition': f'attachment; filename="{name}.lua"'
+        }
+    )
+
+@app.post("/asr", tags=["Endpoints"])
+async def asr(
+    task: Union[str, None] = Query(default="transcribe", enum=["transcribe", "translate"]),
+    language: Union[str, None] = Query(default=None, enum=LANGUAGE_CODES),
+    initial_prompt: Union[str, None] = Query(default=None),
+    audio_file: UploadFile = File(...),
+    encode: bool = Query(default=True, description="Encode audio first through ffmpeg"),
+    output: Union[str, None] = Query(default="txt", enum=["txt", "vtt", "srt", "tsv", "json"]),
+    vad_filter: Annotated[bool | None, Query(
+        description="Enable the voice activity detection (VAD) to filter out parts of the audio without speech",
+        include_in_schema=(True if ASR_ENGINE == "faster_whisper" else False)
+    )] = False,
+    word_timestamps: bool = Query(default=False, description="Word level timestamps"),
+    model_name: Union[str, None] = Query(default=None, description="Model name to use for transcription"),
+    use_async: bool = Query(default=False, description="Use asynchronous processing")
+):
+    asr_options = {k: v for k, v in locals().items() if k in ASR_OPTIONS}
+    async_str = " (async)" if use_async else ""
+    logger.info(f"Transcribing{async_str} {audio_file.filename} with {asr_options}")
+
+    with tempfile.NamedTemporaryFile(delete=False) as temp_file:
+        temp_file_path = temp_file.name
+
+    async with aiofiles.open(temp_file_path, 'wb') as out_file:
+        while content := await audio_file.read(1024 * 1024):  # Read in chunks of 1MB
+            await out_file.write(content)
+
+    transcriber = transcribe.si(temp_file_path, audio_file.filename, asr_options)
+
+    if use_async:
+        job = transcriber.apply_async()
+        return JSONResponse({"job_id": job.id})
+
+    else:
+        result = transcriber.apply().get()
+
+        def reader():
+            with open(result['output_path'], "r") as file:
+                yield from file
+
+        filename = result['output_filename']
+        return StreamingResponse(
+            reader(),
+            media_type="text/plain",
+            headers={
+                'Asr-Engine': ASR_ENGINE,
+                'Content-Disposition': f'attachment; filename="{filename}"'
+            })
+
+@app.get("/jobs/{job_id}", tags=["Endpoints"])
+async def job_status(job_id: str):
+    job = AsyncResult(job_id)
+
+    result = {
+        "job_id": job_id,
+        "job_status": job.status,
+        "job_result": job.result
+    }
+
+    if job.status == "FAILURE":
+        result["job_result"] = apierror.error_dict(result["job_result"])
+
+    return JSONResponse(result)
+
+@app.delete("/jobs/{job_id}", tags=["Endpoints"])
+async def revoke_job(job_id: str):
+    job = AsyncResult(job_id)
+    job.revoke(terminate=True)
+
+    result = {
+        "job_id": job_id,
+        "job_status": job.status
+    }
+    return JSONResponse(result)

app/worker.py

@@ -0,0 +1,129 @@
+import logging
+import os
+
+from celery import Celery
+from typing import Union, Callable
+from whisper import tokenizer
+import tqdm
+
+from .util.audio import load_audio
+
+logging.basicConfig(format='[%(asctime)s] [%(name)s] [%(levelname)s] %(message)s', level=logging.INFO, force=True)
+logger = logging.getLogger(__name__)
+
+# monkeypatch tqdm to fool whisper's `transcribe` function
+class _TQDM(tqdm.tqdm):
+    _tqdm = tqdm.tqdm
+    progress_function = None
+
+    def __init__(self, *argv, total=0, unit="", **kwargs):
+        logger.debug(f"Creating TQDM with total={total}, unit={unit}")
+        self._total = total
+        self._unit = unit
+        self._progress = 0
+        self.progress_function = _TQDM.progress_function or None
+        super().__init__(*argv, **kwargs)
+
+    def set_progress_function(progress_function: Callable[[str, int, int], None]):
+        logger.debug(f"Setting progress function to {progress_function}")
+        _TQDM.progress_function = progress_function
+
+    def update(self, progress):
+        logger.debug(f"Updating TQDM with progress={progress}")
+        self._progress += progress
+        if self.progress_function is not None:
+            self.progress_function(self._unit, self._total, self._progress)
+        else:
+            _TQDM._tqdm.update(self, progress)
+
+tqdm.tqdm = _TQDM
+
+ASR_ENGINE = os.getenv("ASR_ENGINE", "faster_whisper")
+if ASR_ENGINE == "faster_whisper":
+    from .faster_whisper.core import load_model, transcribe as whisper_transcribe
+else:
+    from .openai_whisper.core import load_model, transcribe as whisper_transcribe
+
+LANGUAGE_CODES = sorted(list(tokenizer.LANGUAGES.keys()))
+
+DEFAULT_MODEL_NAME = os.getenv("ASR_MODEL", "small")
+
+STATES = {
+    'loading_model': 'LOADING_MODEL',
+    'encoding': 'ENCODING',
+    'transcribing': 'TRANSCRIBING',
+}
+celery = Celery(__name__)
+celery.conf.broker_connection_retry_on_startup = True
+celery.conf.broker_url = os.environ.get("CELERY_BROKER_URL", "redis://localhost:6379")
+celery.conf.result_backend = os.environ.get("CELERY_RESULT_BACKEND", "redis://localhost:6379")
+celery.conf.worker_hijack_root_logger = False
+celery.conf.worker_redirect_stdouts_level = "DEBUG"
+
+@celery.task(name="transcribe", bind=True)
+def transcribe(
+    self,
+    audio_file_path: str,
+    original_filename: str,
+    asr_options: dict,
+):
+    logger.info(f"Transcribing {audio_file_path} with {asr_options}")
+    output_format = asr_options["output"]
+
+    with open(audio_file_path, "rb") as audio_file:
+        _TQDM.set_progress_function(update_progress(self))
+
+        try:
+            model_name = asr_options.get("model_name") or DEFAULT_MODEL_NAME
+            logger.info(f"Loading model {model_name}")
+            self.update_state(state=STATES["loading_model"], meta={"progress": {"units": "models", "total": 1, "current": 0}})
+            load_model(model_name)
+
+            logger.info(f"Loading audio from {audio_file_path}")
+            self.update_state(state=STATES["encoding"], meta={"progress": {"units": "files", "total": 1, "current": 0}})
+            audio_data = load_audio(audio_file, asr_options.get("encode", False))
+
+            logger.info(f"Transcribing audio")
+            self.update_state(state=STATES["transcribing"], meta={"progress": {"units": "files", "total": 1, "current": 0}})
+            result = whisper_transcribe(audio_data, asr_options, output_format)
+        finally:
+            _TQDM.set_progress_function(None)
+
+    logger.info(f"Transcription complete")
+
+    os.remove(audio_file_path)
+
+    filename = f"{original_filename.encode('latin-1', 'ignore').decode()}.{output_format}"
+    output_directory = get_output_path(self.request.id)
+    output_path = f"{output_directory}/{filename}"
+
+    logger.info(f"Writing result to {output_path}")
+
+    if not os.path.exists(output_directory):
+        os.makedirs(output_directory)
+
+    with open(output_path, "w") as f:
+        f.write(result.read())
+
+    url_path = f"{get_output_url_path(transcribe.request.id)}/{filename}"
+
+    return {
+        "output_filename": filename,
+        "output_path": output_path,
+        "url_path": url_path,
+    }
+
+def get_output_path(job_id: str):
+    return os.environ.get("OUTPUT_DIRECTORY", os.getcwd() + "/app/output") + "/" + job_id
+
+def get_output_url_path(job_id: str):
+    return os.environ.get("OUTPUT_URL_PREFIX", "/output") + "/" + job_id
+
+def update_progress(context):
+    def do_update(units, total, current):
+        logger.info(f"Updating progress with units={units}, total={total}, current={current}")
+        context.update_state(
+            state=STATES["transcribing"],
+            meta={"progress": {"units": units, "total": total, "current": current}}
+        )
+    return do_update

pyproject.toml

@@ -0,0 +1,52 @@
+[tool.poetry]
+name = "reaspeech"
+version = "1.0.0"
+description = "Speech recognition for REAPER"
+homepage  = "https://github.com/TeamAudio/reaspeech/"
+license = "https://github.com/TeamAudio/reaspeech/blob/main/LICENSE"
+authors = [
+    "Dave Benjamin",
+    "Mike DeFreitas",
+    "Roel Sanchez",
+]
+readme = "README.md"
+packages = [{ include = "app" }]
+
+[[tool.poetry.source]]
+name = "pytorch"
+url = "https://download.pytorch.org/whl/cpu"
+priority = "explicit"
+
+[tool.poetry.dependencies]
+python = "^3.10"
+unidecode = "^1.3.4"
+uvicorn = { extras = ["standard"], version = "^0.18.2" }
+gunicorn = "^20.1.0"
+tqdm = "^4.64.1"
+python-multipart = "^0.0.5"
+ffmpeg-python = "^0.2.0"
+fastapi = "^0.95.1"
+llvmlite = "^0.39.1"
+numba = "^0.56.4"
+openai-whisper = "20230918"
+faster-whisper = "^1.0.2"
+torch = [
+  {markers = "sys_platform == 'darwin' and platform_machine == 'arm64'", url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp310-none-macosx_11_0_arm64.whl"},
+  {markers = "sys_platform == 'linux' and platform_machine == 'arm64'", url="https://download.pytorch.org/whl/cpu/torch-1.13.1-cp310-none-macosx_11_0_arm64.whl"},
+  {markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'", url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp310-none-macosx_10_9_x86_64.whl"},
+  {markers = "sys_platform == 'linux' and platform_machine == 'aarch64'", url="https://download.pytorch.org/whl/torch-1.13.1-cp310-cp310-manylinux2014_aarch64.whl"},
+  {markers = "sys_platform == 'linux' and platform_machine == 'x86_64'", url="https://download.pytorch.org/whl/cpu/torch-1.13.1%2Bcpu-cp310-cp310-linux_x86_64.whl"},
+  {markers = "sys_platform == 'win' and platform_machine == 'amd64'", url="https://download.pytorch.org/whl/cpu/torch-1.13.1%2Bcpu-cp310-cp310-win_amd64.whl"},
+]
+jinja2 = "^3.1.2"
+celery = "^5.2.7"
+redis = "^4.5.4"
+ctranslate2 = "4.2.1"
+aiofiles = "^23.2.1"
+
+[tool.poetry.dev-dependencies]
+pytest = "^6.2.5"
+
+[build-system]
+requires = ["poetry-core>=1.0.0"]
+build-backend = "poetry.core.masonry.api"

reascripts/LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2024 TeamAudio
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

reascripts/ReaSpeech/.gitignore

@@ -0,0 +1 @@
+TAGS

reascripts/ReaSpeech/.luacheckrc

@@ -0,0 +1,14 @@
+globals = {
+  "Script",
+  "json",
+  "reaper",
+  "url",
+  "ImGuiTheme",
+  "IMAGES",
+  "Polo",
+  "ReaUtil",
+}
+
+allow_defined = true
+color = false
+ignore = {"212/self", "212/_.*", "432/self", "631"}

reascripts/ReaSpeech/Makefile

@@ -0,0 +1,50 @@
+LUA53=lua5.3
+LUAC53=luac5.3
+LUA54=lua5.4
+LUAC54=luac5.4
+LUACHECK=luacheck
+
+LIBS=ImGuiTheme.lua OptionsConfig.lua Polo.lua ReaIter.lua ReaUtil.lua Tempfile.lua
+VENDOR=json.lua url.lua
+
+source:=$(wildcard source/*.lua source/include/*.lua)
+libs:=$(foreach lib, $(LIBS), ../common/libs/$(lib))
+vendor:=$(foreach lib, $(VENDOR), ../common/vendor/$(lib))
+tests:=$(wildcard tests/Test*.lua)
+dest=../../app/static/reascripts/ReaSpeech
+
+all: lint test publish
+
+lint: $(source) $(libs)
+	$(LUACHECK) $?
+
+test: $(source) $(libs) $(tests)
+	true $(foreach test, $(tests), && $(LUA53) $(test) -v)
+	true $(foreach test, $(tests), && $(LUA54) $(test) -v)
+
+.PHONY: build
+build: build/ReaSpeech-5.3.luac build/ReaSpeech-5.4.luac
+
+build/ReaSpeechBundle.lua: $(source) $(libs) $(vendor) version.lua
+	cat source/include/header.lua source/include/globals.lua $(libs) $(vendor) resources/images/*.lua source/*.lua version.lua source/include/main.lua > build/ReaSpeechBundle.lua
+
+build/ReaSpeech-5.3.luac: build/ReaSpeechBundle.lua
+	$(LUAC53) -o build/ReaSpeech-5.3.luac -s build/ReaSpeechBundle.lua
+
+build/ReaSpeech-5.4.luac: build/ReaSpeechBundle.lua
+	$(LUAC54) -o build/ReaSpeech-5.4.luac -s build/ReaSpeechBundle.lua
+
+.PHONY: publish
+publish: build
+	cp build/ReaSpeech-5.3.luac $(dest)/
+	cp build/ReaSpeech-5.4.luac $(dest)/
+
+.PHONY: tags
+tags:
+	find source/ -type f -iname '*.lua' -print0 | xargs -0 etags
+	find ../common/libs/ -type f -iname '*.lua' -print0 | xargs -0 etags --append
+	find ../common/vendor/ -type f -iname '*.lua' -print0 | xargs -0 etags --append
+
+.PHONY: clean
+clean:
+	rm -f build/ReaSpeech-5.3.luac build/ReaSpeech-5.4.luac build/ReaSpeechBundle.lua TAGS

reascripts/ReaSpeech/ReaSpeechDev.lua

@@ -0,0 +1,52 @@
+--[[
+
+ReaSpeechDev.lua - ReaSpeech UI development version
+
+]]--
+
+-- Set to true to enable product activation flow, false to disable
+local ENABLE_ACTIVATION = true
+
+local script_path, _ = ({reaper.get_action_context()})[2]:match("(.-)([^/\\]+).lua$")
+
+dofile(script_path .. 'source/include/globals.lua')
+dofile(script_path .. '../common/vendor/json.lua')
+dofile(script_path .. '../common/vendor/url.lua')
+
+-- Considering extracting this into a function, but we're getting into
+-- chicken/egg territory with where that would be defined and how it'd be used.
+for _, source_dir in pairs({'resources/images', '../common/libs', 'source'}) do
+  local source_file, source_index = '', 0
+  while (source_file ~= nil) do
+    source_file = reaper.EnumerateFiles(script_path .. source_dir, source_index)
+    if source_file and source_file:sub(-4) == '.lua' then
+      reaper.ShowConsoleMsg(script_path .. source_dir .. '/' .. source_file .. '\n')
+      dofile(script_path .. source_dir .. '/' .. source_file)
+    end
+    source_index = source_index + 1
+  end
+end
+
+-- Might be time before too long to standardize this interface across apps.
+if not ENABLE_ACTIVATION then
+  function ReaSpeechProductActivation:activation_state_check() end
+  ReaSpeechProductActivation.state = 'activated'
+
+  local activation = ReaSpeechProductActivation.new()
+  activation.config:set('eula_signed', true)
+end
+
+-- We're not inside of docker! We're undocked!
+Script = {
+  name = "ReaSpeechDev",
+  host = "localhost:9000",
+  lua = _VERSION:match('[%d.]+'),
+  timeout = 30000,
+}
+
+Fonts.LOCAL_FILE = script_path .. "../../app/static/reascripts/ReaSpeech/icons.ttf"
+
+dofile(script_path .. 'source/include/main.lua')
+
+-- Uncomment the following line to load example response data
+-- dofile(script_path .. 'examples/response_data_json.lua')

reascripts/ReaSpeech/build/.gitignore

@@ -0,0 +1,4 @@
+# Ignore everything in this directory
+*
+# Except this file
+!.gitignore

reascripts/ReaSpeech/examples/response_data_json.lua

@@ -0,0 +1,11 @@
+response = json.decode([[
+{"language": "en", "segments": [{"id": 1, "seek": 2203, "start": 0.0, "end": 4.68, "text": " Don't worry about it, but maybe I will fill out one of those suggestion cards after all.", "tokens": [50364, 1468, 380, 3292, 466, 309, 11, 457, 1310, 286, 486, 2836, 484, 472, 295, 729, 16541, 5632, 934, 439, 13, 50604], "temperature": 0.0, "avg_logprob": -0.20203689297476968, "compression_ratio": 1.5044247787610618, "no_speech_prob": 0.01001946534961462, "words": [{"start": 0.0, "end": 0.48, "word": " Don't", "probability": 0.9738937318325043}, {"start": 0.48, "end": 0.72, "word": " worry", "probability": 0.9985054731369019}, {"start": 0.72, "end": 0.94, "word": " about", "probability": 0.9956048727035522}, {"start": 0.94, "end": 1.2, "word": " it,", "probability": 0.9958335161209106}, {"start": 1.46, "end": 1.68, "word": " but", "probability": 0.9893428087234497}, {"start": 1.68, "end": 2.06, "word": " maybe", "probability": 0.985736072063446}, {"start": 2.06, "end": 2.2, "word": " I", "probability": 0.9841459393501282}, {"start": 2.2, "end": 2.36, "word": " will", "probability": 0.9575523734092712}, {"start": 2.36, "end": 2.54, "word": " fill", "probability": 0.9963791966438293}, {"start": 2.54, "end": 2.68, "word": " out", "probability": 0.9883477091789246}, {"start": 2.68, "end": 2.84, "word": " one", "probability": 0.9910874962806702}, {"start": 2.84, "end": 2.9, "word": " of", "probability": 0.9967635869979858}, {"start": 2.9, "end": 3.2, "word": " those", "probability": 0.9798358678817749}, {"start": 3.2, "end": 3.64, "word": " suggestion", "probability": 0.9172356724739075}, {"start": 3.64, "end": 4.0, "word": " cards", "probability": 0.9973626732826233}, {"start": 4.0, "end": 4.44, "word": " after", "probability": 0.8614948391914368}, {"start": 4.44, "end": 4.68, "word": " all.", "probability": 0.982586681842804}]}, {"id": 2, "seek": 2203, "start": 5.02, "end": 7.66, "text": " You need to rearrange your store and hire more people.", "tokens": [50604, 509, 643, 281, 39568, 428, 3531, 293, 11158, 544, 561, 13, 50748], "temperature": 0.0, "avg_logprob": -0.20203689297476968, "compression_ratio": 1.5044247787610618, "no_speech_prob": 0.01001946534961462, "words": [{"start": 5.02, "end": 5.2, "word": " You", "probability": 0.9949402809143066}, {"start": 5.2, "end": 5.4, "word": " need", "probability": 0.9888043999671936}, {"start": 5.4, "end": 5.68, "word": " to", "probability": 0.995278000831604}, {"start": 5.68, "end": 6.02, "word": " rearrange", "probability": 0.9680283069610596}, {"start": 6.02, "end": 6.34, "word": " your", "probability": 0.9937660694122314}, {"start": 6.34, "end": 6.48, "word": " store", "probability": 0.9905586242675781}, {"start": 6.48, "end": 6.72, "word": " and", "probability": 0.9858508706092834}, {"start": 6.72, "end": 6.92, "word": " hire", "probability": 0.9985997080802917}, {"start": 6.92, "end": 7.16, "word": " more", "probability": 0.9978284239768982}, {"start": 7.16, "end": 7.66, "word": " people.", "probability": 0.9991713762283325}]}, {"id": 3, "seek": 2203, "start": 8.2, "end": 11.26, "text": " Haha, sounds good to me. Good luck finding that book.", "tokens": [50748, 19131, 11, 3263, 665, 281, 385, 13, 2205, 3668, 5006, 300, 1446, 13, 50940], "temperature": 0.0, "avg_logprob": -0.20203689297476968, "compression_ratio": 1.5044247787610618, "no_speech_prob": 0.01001946534961462, "words": [{"start": 8.2, "end": 8.42, "word": " Haha,", "probability": 0.12257678806781769}, {"start": 8.8, "end": 9.04, "word": " sounds", "probability": 0.9721860885620117}, {"start": 9.04, "end": 9.24, "word": " good", "probability": 0.9988430738449097}, {"start": 9.24, "end": 9.44, "word": " to", "probability": 0.9985108971595764}, {"start": 9.44, "end": 9.66, "word": " me.", "probability": 0.9993407130241394}, {"start": 10.0, "end": 10.18, "word": " Good", "probability": 0.9959205389022827}, {"start": 10.18, "end": 10.38, "word": " luck", "probability": 0.9987674951553345}, {"start": 10.38, "end": 10.68, "word": " finding", "probability": 0.9981703758239746}, {"start": 10.68, "end": 11.02, "word": " that", "probability": 0.9961445331573486}, {"start": 11.02, "end": 11.26, "word": " book.", "probability": 0.9984509944915771}]}, {"id": 4, "seek": 2203, "start": 11.78, "end": 12.24, "text": " Thanks.", "tokens": [50940, 2561, 13, 50992], "temperature": 0.0, "avg_logprob": -0.20203689297476968, "compression_ratio": 1.5044247787610618, "no_speech_prob": 0.01001946534961462, "words": [{"start": 11.78, "end": 12.24, "word": " Thanks.", "probability": 0.9695364832878113}]}, {"id": 5, "seek": 2203, "start": 12.9, "end": 16.16, "text": " You're welcome. Okay, who's the next person in line?", "tokens": [50992, 509, 434, 2928, 13, 1033, 11, 567, 311, 264, 958, 954, 294, 1622, 30, 51164], "temperature": 0.0, "avg_logprob": -0.20203689297476968, "compression_ratio": 1.5044247787610618, "no_speech_prob": 0.01001946534961462, "words": [{"start": 12.9, "end": 13.12, "word": " You're", "probability": 0.9849036931991577}, {"start": 13.12, "end": 13.38, "word": " welcome.", "probability": 0.9983079433441162}, {"start": 14.12, "end": 14.5, "word": " Okay,", "probability": 0.7263695001602173}, {"start": 14.86, "end": 15.2, "word": " who's", "probability": 0.9723688066005707}, {"start": 15.2, "end": 15.3, "word": " the", "probability": 0.9945037364959717}, {"start": 15.3, "end": 15.44, "word": " next", "probability": 0.9980334639549255}, {"start": 15.44, "end": 15.74, "word": " person", "probability": 0.9987584352493286}, {"start": 15.74, "end": 15.98, "word": " in", "probability": 0.9971809387207031}, {"start": 15.98, "end": 16.16, "word": " line?", "probability": 0.9988143444061279}]}, {"id": 6, "seek": 2203, "start": 18.49, "end": 22.87, "text": " Now get ready to answer the questions. You may use your notes to help you answer.", "tokens": [51200, 823, 483, 1919, 281, 1867, 264, 1651, 13, 509, 815, 764, 428, 5570, 281, 854, 291, 1867, 13, 51428], "temperature": 0.0, "avg_logprob": -0.20203689297476968, "compression_ratio": 1.5044247787610618, "no_speech_prob": 0.01001946534961462, "words": [{"start": 18.49, "end": 18.75, "word": " Now", "probability": 0.9738929867744446}, {"start": 18.75, "end": 18.97, "word": " get", "probability": 0.9094610810279846}, {"start": 18.97, "end": 19.21, "word": " ready", "probability": 0.9989386200904846}, {"start": 19.21, "end": 19.51, "word": " to", "probability": 0.9987198114395142}, {"start": 19.51, "end": 19.75, "word": " answer", "probability": 0.9979331493377686}, {"start": 19.75, "end": 19.95, "word": " the", "probability": 0.995278000831604}, {"start": 19.95, "end": 20.33, "word": " questions.", "probability": 0.9946743249893188}, {"start": 20.95, "end": 21.09, "word": " You", "probability": 0.9968999624252319}, {"start": 21.09, "end": 21.27, "word": " may", "probability": 0.9985644221305847}, {"start": 21.27, "end": 21.47, "word": " use", "probability": 0.9987497329711914}, {"start": 21.47, "end": 21.77, "word": " your", "probability": 0.9975970387458801}, {"start": 21.77, "end": 21.99, "word": " notes", "probability": 0.9959502220153809}, {"start": 21.99, "end": 22.21, "word": " to", "probability": 0.9991000890731812}, {"start": 22.21, "end": 22.33, "word": " help", "probability": 0.998537540435791}, {"start": 22.33, "end": 22.55, "word": " you", "probability": 0.9948883652687073}, {"start": 22.55, "end": 22.87, "word": " answer.", "probability": 0.9985874891281128}]}], "text": " Don't worry about it, but maybe I will fill out one of those suggestion cards after all. You need to rearrange your store and hire more people. Haha, sounds good to me. Good luck finding that book. Thanks. You're welcome. Okay, who's the next person in line? Now get ready to answer the questions. You may use your notes to help you answer."}
+]])
+
+for _, segment in pairs(response.segments) do
+    for _, s in pairs(TranscriptSegment.from_whisper(segment, {}, {})) do
+      app.transcript:add_segment(s)
+    end
+  end
+  app.transcript:update()
+  

reascripts/ReaSpeech/resources/icons/.fontello

@@ -0,0 +1 @@
+d0dcf108b52a898b9077bdc832d3333b

reascripts/ReaSpeech/resources/icons/Makefile

@@ -0,0 +1,39 @@
+# Based on Makefile example from https://gist.github.com/puzrin/5537065
+
+FONT_DIR      ?= ./fontello
+FONTELLO_HOST ?= https://fontello.com
+
+dest=../../../../app/static/reascripts/ReaSpeech
+
+all: publish
+
+.PHONY: publish
+publish:
+	cp fontello/font/fontello.ttf $(dest)/icons.ttf
+
+fontopen:
+	@if test ! `which curl` ; then \
+		echo 'Install curl first.' >&2 ; \
+		exit 128 ; \
+		fi
+	curl --silent --show-error --fail --output .fontello \
+		--form "config=@${FONT_DIR}/config.json" \
+		${FONTELLO_HOST}
+	x-www-browser ${FONTELLO_HOST}/`cat .fontello`
+
+fontsave:
+	@if test ! `which unzip` ; then \
+		echo 'Install unzip first.' >&2 ; \
+		exit 128 ; \
+		fi
+	@if test ! -e .fontello ; then \
+		echo 'Run `make fontopen` first.' >&2 ; \
+		exit 128 ; \
+		fi
+	rm -rf .fontello.src .fontello.zip
+	curl --silent --show-error --fail --output .fontello.zip \
+		${FONTELLO_HOST}/`cat .fontello`/get
+	unzip .fontello.zip -d .fontello.src
+	rm -rf ${FONT_DIR}
+	mv `find ./.fontello.src -maxdepth 1 -name 'fontello-*'` ${FONT_DIR}
+	rm -rf .fontello.src .fontello.zip

reascripts/ReaSpeech/resources/icons/fontello/LICENSE.txt

@@ -0,0 +1,12 @@
+Font license info
+
+
+## Font Awesome
+
+   Copyright (C) 2016 by Dave Gandy
+
+   Author:    Dave Gandy
+   License:   SIL ()
+   Homepage:  http://fortawesome.github.com/Font-Awesome/
+
+

reascripts/ReaSpeech/resources/icons/fontello/README.txt

@@ -0,0 +1,75 @@
+This webfont is generated by https://fontello.com open source project.
+
+
+================================================================================
+Please, note, that you should obey original font licenses, used to make this
+webfont pack. Details available in LICENSE.txt file.
+
+- Usually, it's enough to publish content of LICENSE.txt file somewhere on your
+  site in "About" section.
+
+- If your project is open-source, usually, it will be ok to make LICENSE.txt
+  file publicly available in your repository.
+
+- Fonts, used in Fontello, don't require a clickable link on your site.
+  But any kind of additional authors crediting is welcome.
+================================================================================
+
+
+Comments on archive content
+---------------------------
+
+- /font/* - fonts in different formats
+
+- /css/*  - different kinds of css, for all situations. Should be ok with 
+  twitter bootstrap. Also, you can skip <i> style and assign icon classes
+  directly to text elements, if you don't mind about IE7.
+
+- demo.html - demo file, to show your webfont content
+
+- LICENSE.txt - license info about source fonts, used to build your one.
+
+- config.json - keeps your settings. You can import it back into fontello
+  anytime, to continue your work
+
+
+Why so many CSS files ?
+-----------------------
+
+Because we like to fit all your needs :)
+
+- basic file, <your_font_name>.css - is usually enough, it contains @font-face
+  and character code definitions
+
+- *-ie7.css - if you need IE7 support, but still don't wish to put char codes
+  directly into html
+
+- *-codes.css and *-ie7-codes.css - if you like to use your own @font-face
+  rules, but still wish to benefit from css generation. That can be very
+  convenient for automated asset build systems. When you need to update font -
+  no need to manually edit files, just override old version with archive
+  content. See fontello source code for examples.
+
+- *-embedded.css - basic css file, but with embedded WOFF font, to avoid
+  CORS issues in Firefox and IE9+, when fonts are hosted on the separate domain.
+  We strongly recommend to resolve this issue by `Access-Control-Allow-Origin`
+  server headers. But if you ok with dirty hack - this file is for you. Note,
+  that data url moved to separate @font-face to avoid problems with <IE9, when
+  string is too long.
+
+- animate.css - use it to get ideas about spinner rotation animation.
+
+
+Attention for server setup
+--------------------------
+
+You MUST setup server to reply with proper `mime-types` for font files -
+otherwise some browsers will fail to show fonts.
+
+Usually, `apache` already has necessary settings, but `nginx` and other
+webservers should be tuned. Here is list of mime types for our file extensions:
+
+- `application/vnd.ms-fontobject` - eot
+- `application/x-font-woff` - woff
+- `application/x-font-ttf` - ttf
+- `image/svg+xml` - svg

reascripts/ReaSpeech/resources/icons/fontello/config.json

@@ -0,0 +1,34 @@
+{
+  "name": "",
+  "css_prefix_text": "icon-",
+  "css_use_suffix": false,
+  "hinting": true,
+  "units_per_em": 1000,
+  "ascent": 850,
+  "glyphs": [
+    {
+      "uid": "d35a1d35efeb784d1dc9ac18b9b6c2b6",
+      "css": "pencil",
+      "code": 97,
+      "src": "fontawesome"
+    },
+    {
+      "uid": "e99461abfef3923546da8d745372c995",
+      "css": "cog",
+      "code": 98,
+      "src": "fontawesome"
+    },
+    {
+      "uid": "5717236f6134afe2d2a278a5c9b3927a",
+      "css": "play-circled",
+      "code": 99,
+      "src": "fontawesome"
+    },
+    {
+      "uid": "3363990fa5a224d75ed1740e1ec50bb6",
+      "css": "stop-circle",
+      "code": 100,
+      "src": "fontawesome"
+    }
+  ]
+}

reascripts/ReaSpeech/resources/icons/fontello/css/animation.css

@@ -0,0 +1,85 @@
+/*
+   Animation example, for spinners
+*/
+.animate-spin {
+  -moz-animation: spin 2s infinite linear;
+  -o-animation: spin 2s infinite linear;
+  -webkit-animation: spin 2s infinite linear;
+  animation: spin 2s infinite linear;
+  display: inline-block;
+}
+@-moz-keyframes spin {
+  0% {
+    -moz-transform: rotate(0deg);
+    -o-transform: rotate(0deg);
+    -webkit-transform: rotate(0deg);
+    transform: rotate(0deg);
+  }
+
+  100% {
+    -moz-transform: rotate(359deg);
+    -o-transform: rotate(359deg);
+    -webkit-transform: rotate(359deg);
+    transform: rotate(359deg);
+  }
+}
+@-webkit-keyframes spin {
+  0% {
+    -moz-transform: rotate(0deg);
+    -o-transform: rotate(0deg);
+    -webkit-transform: rotate(0deg);
+    transform: rotate(0deg);
+  }
+
+  100% {
+    -moz-transform: rotate(359deg);
+    -o-transform: rotate(359deg);
+    -webkit-transform: rotate(359deg);
+    transform: rotate(359deg);
+  }
+}
+@-o-keyframes spin {
+  0% {
+    -moz-transform: rotate(0deg);
+    -o-transform: rotate(0deg);
+    -webkit-transform: rotate(0deg);
+    transform: rotate(0deg);
+  }
+
+  100% {
+    -moz-transform: rotate(359deg);
+    -o-transform: rotate(359deg);
+    -webkit-transform: rotate(359deg);
+    transform: rotate(359deg);
+  }
+}
+@-ms-keyframes spin {
+  0% {
+    -moz-transform: rotate(0deg);
+    -o-transform: rotate(0deg);
+    -webkit-transform: rotate(0deg);
+    transform: rotate(0deg);
+  }
+
+  100% {
+    -moz-transform: rotate(359deg);
+    -o-transform: rotate(359deg);
+    -webkit-transform: rotate(359deg);
+    transform: rotate(359deg);
+  }
+}
+@keyframes spin {
+  0% {
+    -moz-transform: rotate(0deg);
+    -o-transform: rotate(0deg);
+    -webkit-transform: rotate(0deg);
+    transform: rotate(0deg);
+  }
+
+  100% {
+    -moz-transform: rotate(359deg);
+    -o-transform: rotate(359deg);
+    -webkit-transform: rotate(359deg);
+    transform: rotate(359deg);
+  }
+}

reascripts/ReaSpeech/resources/icons/fontello/css/fontello-codes.css

@@ -0,0 +1,5 @@
+
+.icon-pencil:before { content: '\61'; } /* 'a' */
+.icon-cog:before { content: '\62'; } /* 'b' */
+.icon-play-circled:before { content: '\63'; } /* 'c' */
+.icon-stop-circle:before { content: '\64'; } /* 'd' */

reascripts/ReaSpeech/resources/icons/fontello/css/fontello-embedded.css

@@ -0,0 +1,63 @@
+@font-face {
+  font-family: 'fontello';
+  src: url('../font/fontello.eot?15398461');
+  src: url('../font/fontello.eot?15398461#iefix') format('embedded-opentype'),
+       url('../font/fontello.svg?15398461#fontello') format('svg');
+  font-weight: normal;
+  font-style: normal;
+}
+@font-face {
+  font-family: 'fontello';
+  src: 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format('truetype');
+}
+/* Chrome hack: SVG is rendered more smooth in Windozze. 100% magic, uncomment if you need it. */
+/* Note, that will break hinting! In other OS-es font will be not as sharp as it could be */
+/*
+@media screen and (-webkit-min-device-pixel-ratio:0) {
+  @font-face {
+    font-family: 'fontello';
+    src: url('../font/fontello.svg?15398461#fontello') format('svg');
+  }
+}
+*/
+
+[class^="icon-"]:before, [class*=" icon-"]:before {
+  font-family: "fontello";
+  font-style: normal;
+  font-weight: normal;
+  speak: never;
+
+  display: inline-block;
+  text-decoration: inherit;
+  width: 1em;
+  margin-right: .2em;
+  text-align: center;
+  /* opacity: .8; */
+
+  /* For safety - reset parent styles, that can break glyph codes*/
+  font-variant: normal;
+  text-transform: none;
+
+  /* fix buttons height, for twitter bootstrap */
+  line-height: 1em;
+
+  /* Animation center compensation - margins should be symmetric */
+  /* remove if not needed */
+  margin-left: .2em;
+
+  /* you can be more comfortable with increased icons size */
+  /* font-size: 120%; */
+  
+  /* Font smoothing. That was taken from TWBS */
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+
+  /* Uncomment for 3D effect */
+  /* text-shadow: 1px 1px 1px rgba(127, 127, 127, 0.3); */
+}
+
+.icon-pencil:before { content: '\61'; } /* 'a' */
+.icon-cog:before { content: '\62'; } /* 'b' */
+.icon-play-circled:before { content: '\63'; } /* 'c' */
+.icon-stop-circle:before { content: '\64'; } /* 'd' */

reascripts/ReaSpeech/resources/icons/fontello/css/fontello-ie7-codes.css

@@ -0,0 +1,5 @@
+
+.icon-pencil { *zoom: expression( this.runtimeStyle['zoom'] = '1', this.innerHTML = 'a '); }
+.icon-cog { *zoom: expression( this.runtimeStyle['zoom'] = '1', this.innerHTML = 'b '); }
+.icon-play-circled { *zoom: expression( this.runtimeStyle['zoom'] = '1', this.innerHTML = 'c '); }
+.icon-stop-circle { *zoom: expression( this.runtimeStyle['zoom'] = '1', this.innerHTML = 'd '); }