Spaces:
Runtime error
Runtime error
Merge branch 'main' into dev
Browse files- app.py +77 -29
- cli.py +0 -3
- src/download.py +9 -3
- src/source.py +70 -0
app.py
CHANGED
@@ -1,3 +1,4 @@
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import math
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from typing import Iterator
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import argparse
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@@ -6,9 +7,11 @@ from io import StringIO
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import os
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import pathlib
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import tempfile
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import torch
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from src.modelCache import ModelCache
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from src.vadParallel import ParallelContext, ParallelTranscription
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# External programs
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@@ -78,9 +81,9 @@ class WhisperTranscriber:
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self.vad_cpu_cores = min(os.cpu_count(), MAX_AUTO_CPU_CORES)
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print("[Auto parallel] Using GPU devices " + str(self.parallel_device_list) + " and " + str(self.vad_cpu_cores) + " CPU cores for VAD/transcription.")
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def transcribe_webui(self, modelName, languageName, urlData,
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try:
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-
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try:
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selectedLanguage = languageName.lower() if len(languageName) > 0 else None
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@@ -88,22 +91,84 @@ class WhisperTranscriber:
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model = WhisperContainer(model_name=selectedModel, cache=self.model_cache)
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#
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-
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# Write result
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downloadDirectory = tempfile.mkdtemp()
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return download, text, vtt
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finally:
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# Cleanup source
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if self.deleteUploadedFiles:
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-
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-
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except ExceededMaximumDuration as e:
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return [], ("[ERROR]: Maximum remote video length is " + str(e.maxDuration) + "s, file was " + str(e.videoDuration) + "s"), "[ERROR]"
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@@ -222,25 +287,8 @@ class WhisperTranscriber:
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self.model_cache.clear()
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self.vad_model = None
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def __get_source(self, urlData,
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# Download from YouTube
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source = download_url(urlData, self.inputAudioMaxDuration)[0]
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else:
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# File input
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source = uploadFile if uploadFile is not None else microphoneData
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if self.inputAudioMaxDuration > 0:
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# Calculate audio length
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audioDuration = ffmpeg.probe(source)["format"]["duration"]
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if float(audioDuration) > self.inputAudioMaxDuration:
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raise ExceededMaximumDuration(videoDuration=audioDuration, maxDuration=self.inputAudioMaxDuration, message="Video is too long")
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file_path = pathlib.Path(source)
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sourceName = file_path.stem[:MAX_FILE_PREFIX_LENGTH] + file_path.suffix
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return source, sourceName
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def __get_max_line_width(self, language: str) -> int:
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if (language and language.lower() in ["japanese", "ja", "chinese", "zh"]):
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@@ -304,7 +352,7 @@ def create_ui(input_audio_max_duration, share=False, server_name: str = None, se
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gr.Dropdown(choices=["tiny", "base", "small", "medium", "large", "large-v1", "large-v2"], value=default_model_name, label="Model"),
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gr.Dropdown(choices=sorted(LANGUAGES), label="Language"),
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gr.Text(label="URL (YouTube, etc.)"),
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gr.
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gr.Audio(source="microphone", type="filepath", label="Microphone Input"),
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gr.Dropdown(choices=["transcribe", "translate"], label="Task"),
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gr.Dropdown(choices=["none", "silero-vad", "silero-vad-skip-gaps", "silero-vad-expand-into-gaps", "periodic-vad"], value=default_vad, label="VAD"),
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from datetime import datetime
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import math
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from typing import Iterator
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import argparse
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import os
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import pathlib
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import tempfile
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import zipfile
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import torch
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from src.modelCache import ModelCache
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from src.source import get_audio_source_collection
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from src.vadParallel import ParallelContext, ParallelTranscription
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# External programs
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self.vad_cpu_cores = min(os.cpu_count(), MAX_AUTO_CPU_CORES)
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print("[Auto parallel] Using GPU devices " + str(self.parallel_device_list) + " and " + str(self.vad_cpu_cores) + " CPU cores for VAD/transcription.")
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def transcribe_webui(self, modelName, languageName, urlData, multipleFiles, microphoneData, task, vad, vadMergeWindow, vadMaxMergeSize, vadPadding, vadPromptWindow):
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try:
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sources = self.__get_source(urlData, multipleFiles, microphoneData)
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try:
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selectedLanguage = languageName.lower() if len(languageName) > 0 else None
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model = WhisperContainer(model_name=selectedModel, cache=self.model_cache)
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# Result
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download = []
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zip_file_lookup = {}
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text = ""
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vtt = ""
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# Write result
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downloadDirectory = tempfile.mkdtemp()
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source_index = 0
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# Execute whisper
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for source in sources:
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source_prefix = ""
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if (len(sources) > 1):
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# Prefix (minimum 2 digits)
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source_index += 1
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source_prefix = str(source_index).zfill(2) + "_"
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print("Transcribing ", source.source_path)
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# Transcribe
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result = self.transcribe_file(model, source.source_path, selectedLanguage, task, vad, vadMergeWindow, vadMaxMergeSize, vadPadding, vadPromptWindow)
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filePrefix = slugify(source_prefix + source.get_short_name(), allow_unicode=True)
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source_download, source_text, source_vtt = self.write_result(result, filePrefix, downloadDirectory)
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if len(sources) > 1:
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# Add new line separators
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if (len(source_text) > 0):
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source_text += os.linesep + os.linesep
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if (len(source_vtt) > 0):
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source_vtt += os.linesep + os.linesep
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# Append file name to source text too
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source_text = source.get_full_name() + ":" + os.linesep + source_text
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source_vtt = source.get_full_name() + ":" + os.linesep + source_vtt
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# Add to result
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download.extend(source_download)
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text += source_text
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vtt += source_vtt
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if (len(sources) > 1):
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# Zip files support at least 260 characters, but we'll play it safe and use 200
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zipFilePrefix = slugify(source_prefix + source.get_short_name(max_length=200), allow_unicode=True)
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# File names in ZIP file can be longer
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for source_download_file in source_download:
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# Get file postfix (after last -)
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filePostfix = os.path.basename(source_download_file).split("-")[-1]
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zip_file_name = zipFilePrefix + "-" + filePostfix
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zip_file_lookup[source_download_file] = zip_file_name
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# Create zip file from all sources
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if len(sources) > 1:
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downloadAllPath = os.path.join(downloadDirectory, "All_Output-" + datetime.now().strftime("%Y%m%d-%H%M%S") + ".zip")
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with zipfile.ZipFile(downloadAllPath, 'w', zipfile.ZIP_DEFLATED) as zip:
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for download_file in download:
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# Get file name from lookup
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zip_file_name = zip_file_lookup.get(download_file, os.path.basename(download_file))
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zip.write(download_file, arcname=zip_file_name)
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download.insert(0, downloadAllPath)
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return download, text, vtt
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finally:
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# Cleanup source
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if self.deleteUploadedFiles:
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for source in sources:
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print("Deleting source file " + source.source_path)
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try:
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os.remove(source.source_path)
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except Exception as e:
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# Ignore error - it's just a cleanup
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print("Error deleting source file " + source.source_path + ": " + str(e))
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except ExceededMaximumDuration as e:
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return [], ("[ERROR]: Maximum remote video length is " + str(e.maxDuration) + "s, file was " + str(e.videoDuration) + "s"), "[ERROR]"
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self.model_cache.clear()
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self.vad_model = None
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def __get_source(self, urlData, multipleFiles, microphoneData):
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return get_audio_source_collection(urlData, multipleFiles, microphoneData, self.inputAudioMaxDuration)
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def __get_max_line_width(self, language: str) -> int:
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if (language and language.lower() in ["japanese", "ja", "chinese", "zh"]):
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gr.Dropdown(choices=["tiny", "base", "small", "medium", "large", "large-v1", "large-v2"], value=default_model_name, label="Model"),
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gr.Dropdown(choices=sorted(LANGUAGES), label="Language"),
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gr.Text(label="URL (YouTube, etc.)"),
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gr.File(label="Upload Files", file_count="multiple"),
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gr.Audio(source="microphone", type="filepath", label="Microphone Input"),
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gr.Dropdown(choices=["transcribe", "translate"], label="Task"),
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gr.Dropdown(choices=["none", "silero-vad", "silero-vad-skip-gaps", "silero-vad-expand-into-gaps", "periodic-vad"], value=default_vad, label="VAD"),
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cli.py
CHANGED
@@ -5,8 +5,6 @@ from urllib.parse import urlparse
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import warnings
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import numpy as np
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import whisper
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import torch
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from app import LANGUAGES, WhisperTranscriber
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from src.download import download_url
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from src.utils import optional_float, optional_int, str2bool
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from src.whisperContainer import WhisperContainer
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def cli():
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parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
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parser.add_argument("audio", nargs="+", type=str, help="audio file(s) to transcribe")
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import warnings
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import numpy as np
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import torch
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from app import LANGUAGES, WhisperTranscriber
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from src.download import download_url
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from src.utils import optional_float, optional_int, str2bool
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from src.whisperContainer import WhisperContainer
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def cli():
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parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
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parser.add_argument("audio", nargs="+", type=str, help="audio file(s) to transcribe")
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src/download.py
CHANGED
@@ -46,10 +46,16 @@ def _perform_download(url: str, maxDuration: int = None, outputTemplate: str = N
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with YoutubeDL(ydl_opts) as ydl:
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if maxDuration and maxDuration > 0:
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info = ydl.extract_info(url, download=False)
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ydl.add_post_processor(filename_collector)
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ydl.download([url])
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with YoutubeDL(ydl_opts) as ydl:
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if maxDuration and maxDuration > 0:
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info = ydl.extract_info(url, download=False)
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entries = "entries" in info and info["entries"] or [info]
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total_duration = 0
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# Compute total duration
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for entry in entries:
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total_duration += float(entry["duration"])
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if total_duration >= maxDuration:
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raise ExceededMaximumDuration(videoDuration=total_duration, maxDuration=maxDuration, message="Video is too long")
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ydl.add_post_processor(filename_collector)
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ydl.download([url])
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src/source.py
ADDED
@@ -0,0 +1,70 @@
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# Gradio seems to truncate files without keeping the extension, so we need to truncate the file prefix ourself
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import os
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import pathlib
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from typing import List
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import zipfile
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import ffmpeg
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from more_itertools import unzip
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from src.download import ExceededMaximumDuration, download_url
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MAX_FILE_PREFIX_LENGTH = 17
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class AudioSource:
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def __init__(self, source_path, source_name = None):
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self.source_path = source_path
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self.source_name = source_name
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# Load source name if not provided
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if (self.source_name is None):
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file_path = pathlib.Path(self.source_path)
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self.source_name = file_path.name
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def get_full_name(self):
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return self.source_name
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def get_short_name(self, max_length: int = MAX_FILE_PREFIX_LENGTH):
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file_path = pathlib.Path(self.source_name)
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short_name = file_path.stem[:max_length] + file_path.suffix
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return short_name
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def __str__(self) -> str:
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return self.source_path
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class AudioSourceCollection:
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def __init__(self, sources: List[AudioSource]):
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self.sources = sources
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def __iter__(self):
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return iter(self.sources)
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def get_audio_source_collection(urlData: str, multipleFiles: List, microphoneData: str, input_audio_max_duration: float = -1) -> List[AudioSource]:
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output: List[AudioSource] = []
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if urlData:
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# Download from YouTube. This could also be a playlist or a channel.
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output.extend([ AudioSource(x) for x in download_url(urlData, input_audio_max_duration, playlistItems=None) ])
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else:
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# Add input files
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if (multipleFiles is not None):
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output.extend([ AudioSource(x.name) for x in multipleFiles ])
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if (microphoneData is not None):
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output.append(AudioSource(microphoneData))
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total_duration = 0
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# Calculate total audio length. We do this even if input_audio_max_duration
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# is disabled to ensure that all the audio files are valid.
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for source in output:
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audioDuration = ffmpeg.probe(source.source_path)["format"]["duration"]
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total_duration += float(audioDuration)
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# Ensure the total duration of the audio is not too long
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if input_audio_max_duration > 0:
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if float(total_duration) > input_audio_max_duration:
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raise ExceededMaximumDuration(videoDuration=total_duration, maxDuration=input_audio_max_duration, message="Video(s) is too long")
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# Return a list of audio sources
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return output
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