updATE MODELS for audio generation
This commit is contained in:
@@ -44,34 +44,34 @@ font-size: 75px;
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## Classess
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SIMPLE_MODEL = Model(
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PHRASE_MODEL = Model(
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2076166425,
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"Simple Model",
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"Phrase Model",
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fields=[
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{"name": "Question"},
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{"name": "Answer"},
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{"name": "Translated"},
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{"name": "Phrase"},
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{"name": "Audio"},
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],
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templates=[
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{
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"name": "Card 1",
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"qfmt": "{{Question}}",
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"afmt": '{{FrontSide}}<hr id="answer">{{Answer}}',
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"qfmt": "{{Translated}}<br>{{Audio}}",
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"afmt": '{{FrontSide}}<hr id="answer">{{Phrase}}',
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},
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{
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"name": "Card 2",
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"qfmt": "{{Phrase}}<br>{{Audio}}",
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"afmt": '{{FrontSide}}<hr id="answer">{{Translated}}',
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},
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{
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"name": "Card 3",
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"qfmt": "{{Audio}}",
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"afmt": '{{FrontSide}}<hr id="answer">{{Phrase}}',
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},
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],
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css=CSS,
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)
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HSK_FRONT_TEMPLATE = """
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<tts service="android" voice="zh-CN">
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<strong>{{Pinyin}}</strong>
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</tts>
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<br>
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<tts service="android" voice="en-US">
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{{English}}
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</tts>
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<br>
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{{Audio}}
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"""
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HSK_MODEL = Model(
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1708536519,
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@@ -81,12 +81,12 @@ HSK_MODEL = Model(
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{"name": "Pinyin"},
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{"name": "Simplified"},
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{"name": "Traditional"},
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{'name': 'Audio'},
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{"name": "Audio"},
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],
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templates=[
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{
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"name": "Card 1",
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"qfmt": HSK_FRONT_TEMPLATE,
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"qfmt": "<strong>{{Pinyin}}</strong><br>{{English}}<br>{{Audio}}",
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"afmt": "{{FrontSide}}<hr id='answer''><div class='simple'>"
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"{{Simplified}}</div><br><div class='trad'>{{Traditional}}</div>",
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},
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@@ -96,6 +96,12 @@ HSK_MODEL = Model(
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"{{Traditional}}</div>",
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"afmt": '{{FrontSide}}<hr id="answer"><strong>{{Pinyin}}</strong><br>{{English}}<br>{{Audio}}',
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},
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{
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"name": "Card 1",
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"qfmt": "{{Audio}}",
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"afmt": "{{FrontSide}}<hr id='answer''><strong>{{Pinyin}}</strong><br><div class='simple'>"
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"{{Simplified}}</div><br><div class='trad'>{{Traditional}}</div>",
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},
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],
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css=CSS,
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)
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@@ -129,6 +135,7 @@ def create_translator():
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)
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argostranslate.package.install_from_path(package_to_install.download())
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def create_tts():
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# Automatically detect the best available device
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if torch.cuda.is_available():
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@@ -137,9 +144,10 @@ def create_tts():
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device = "mps"
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else:
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device = "cpu"
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tts = ChatterboxMultilingualTTS.from_pretrained(device=device)
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tts = ChatterboxMultilingualTTS.from_pretrained(device=device, t3_model="v3")
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return tts
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## Main
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@@ -193,8 +201,14 @@ def dictionary_process(dictionary, tts, in_file, resources):
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for m in w.meanings:
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print(f"\t{m}")
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s = None
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while not s or not s.isnumeric() or not (1 <= int(s) <= len(v)):
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s = input(f"Please select the correct word [1-{len(v)}]: ")
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while (
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not s
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or not s.isnumeric()
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or not (1 <= int(s) <= len(v))
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):
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s = input(
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f"Please select the correct word [1-{len(v)}]: "
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)
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v = v[int(s) - 1]
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else:
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v = ml[0]
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@@ -202,7 +216,7 @@ def dictionary_process(dictionary, tts, in_file, resources):
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v = v[0]
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audio_path = resources / f"{word}.wav"
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if not audio_path.exists():
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audio = tts.generate(word, language_id="zh")
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audio = tts.generate(f"{word}。", language_id="zh")
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torchaudio.save(audio_path, audio, tts.sr)
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input_file.write(f"{word}\t{v.pinyin}\n")
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results.append((v, audio_path))
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@@ -217,16 +231,18 @@ def dictionary_process(dictionary, tts, in_file, resources):
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return results
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def translator_process(in_file):
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"""Process text trasnlate files"""
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text_list = in_file.open(encoding="utf8").read().split()[1:]
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def translator_process(tts, resources, in_file):
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"""Process for phases trasnlation"""
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text_list = in_file.open(encoding="utf8").read().strip().split()
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results = []
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for text in text_list:
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text = text.strip()
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for par in text.split("。"):
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if par:
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translatedText = argostranslate.translate.translate(par, CN, EN)
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results.append([translatedText, par])
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for n, phrase in enumerate(text_list):
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phrase = phrase.strip()
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audio_path = resources / f"N{n}.wav"
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if not audio_path.exists():
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audio = tts.generate(f"{phrase}。", language_id="zh")
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torchaudio.save(audio_path, audio, tts.sr)
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translated = argostranslate.translate.translate(phrase, CN, EN)
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results.append([translated, phrase, audio_path])
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return results
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@@ -260,7 +276,7 @@ def output_anki_dictionary(out_file, results):
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PinyinToneConverter().convert_text(entry.pinyin),
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entry.simplified,
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entry.traditional,
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f"[sound:{audio.name}]"
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f"[sound:{audio.name}]",
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],
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)
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audios.append(audio)
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@@ -269,28 +285,37 @@ def output_anki_dictionary(out_file, results):
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package.write_to_file(final_file)
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def output_anki_text(out_file, results):
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def output_anki_phrase(out_file, results):
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final_file = out_file.parent / f"{out_file.stem}.apkg"
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deck_name = "::".join(out_file.relative_to(OUTPUT).parts[:-1] + (out_file.stem,))
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deck = Deck(random.randrange(1 << 30, 1 << 31), deck_name)
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for entry in results:
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package = Package(deck)
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audios = []
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for translated, phrase, audio in results:
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note = Note(
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model=SIMPLE_MODEL,
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fields=entry,
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model=PHRASE_MODEL,
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fields=[
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translated,
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phrase,
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f"[sound:{audio.name}]",
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],
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)
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deck.add_note(note)
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Package(deck).write_to_file(final_file)
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audios.append(audio)
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package.media_files = audios
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package.write_to_file(final_file)
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def main():
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in_file, out_file, resources, file_type = process_files()
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if PHRASES_TYPE in in_file.suffixes:
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create_translator()
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results = translator_process(in_file)
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output_anki_text(out_file, results)
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elif DICT_TYPE in in_file.suffixes:
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tts = create_tts()
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dictionary = create_cedict()
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create_translator()
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while True:
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in_file, out_file, resources, file_type = process_files()
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if PHRASES_TYPE in in_file.suffixes:
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results = translator_process(tts, resources, in_file)
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output_anki_phrase(out_file, results)
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elif DICT_TYPE in in_file.suffixes:
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results = dictionary_process(dictionary, tts, in_file, resources)
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output_anki_dictionary(out_file, results)
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else:
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@@ -1,4 +1,4 @@
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谢谢
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不
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不客气
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再见
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谢谢 xie4 xie5
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不 bu4
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不客气 bu4 ke4 qi5
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再见 zai4 jian4
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@@ -1,2 +1,7 @@
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不谢
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谢谢你
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打开书
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清大声读
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再读一遍
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一起读
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有问题吗?
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@@ -1,12 +1,12 @@
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叫
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什么
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名字
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我
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是
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老师
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吗
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学生
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人
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李明
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中国
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美国
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叫 jiao4
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什么 shen2 me5
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名字 ming2 zi5
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我 wo3
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是 shi4
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老师 lao3 shi1
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吗 ma5
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学生 xue2 sheng5
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人 ren2
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李明 ERROR
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中国 Zhong1 guo2
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美国 Mei3 guo2
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6
data/input/HSK1/HSK1-3.phrases.txt
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6
data/input/HSK1/HSK1-3.phrases.txt
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@@ -0,0 +1,6 @@
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你叫什么名字?
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我叫李月。
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你是老师吗?
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我不是老师, 我是学生。
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你中国人么?
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我不是中国人,我是美国人。
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@@ -1,12 +1,12 @@
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她
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他
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谁
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的
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汉语
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哪
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国
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呢
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他
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同学
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朋友
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委内瑞拉
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她 ta1
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他 ta1
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谁 shei2
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的 de5
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汉语 Han4 yu3
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哪 na3
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国 guo2
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呢 ne5
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他 ta1
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同学 tong2 xue2
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朋友 peng2 you5
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委内瑞拉 Wei3 nei4 rui4 la1
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9
data/input/HSK1/HSK1-4.phrases.txt
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9
data/input/HSK1/HSK1-4.phrases.txt
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@@ -0,0 +1,9 @@
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他是谁?
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他是我的汉语老师,他叫李月。
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你是哪国人?
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我是美国人,你呢?
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我是中国人。
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他是谁?
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他是我同学。
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他呢?他是你同学吗?
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他不是我同学,她是我朋友。
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9
data/input/汉语口语新时代-初级下/HSK1-4.phrases.txt
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9
data/input/汉语口语新时代-初级下/HSK1-4.phrases.txt
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@@ -0,0 +1,9 @@
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他是谁?
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他是我的汉语老师,他叫李月。
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你是哪国人?
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我是美国人,你呢?
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我是中国人。
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他是谁?
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他是我同学。
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他呢?他是你同学吗?
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他不是我同学,她是我朋友。
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14
data/input/汉语口语新时代-初级下/第11课-1.dictionary.txt
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14
data/input/汉语口语新时代-初级下/第11课-1.dictionary.txt
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@@ -0,0 +1,14 @@
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温柔 wen1 rou2
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星星 xing1 xing5
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摘 zhai1
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颗 ke1
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亲手 qin1 shou3
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浪漫 lang4 man4
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飞行员 fei1 xing2 yuan2
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标准 biao1 zhun3
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考虑 kao3 lu:4
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十全十美 shi2 quan2 shi2 mei3
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理想 li3 xiang3
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支持 zhi1 chi2
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性格 xing4 ge2
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恋爱 lian4 ai4
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8
data/input/汉语口语新时代-初级下/第11课-1.phrases.txt
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8
data/input/汉语口语新时代-初级下/第11课-1.phrases.txt
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@@ -0,0 +1,8 @@
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她每年都会送孩子新年礼物
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有一年,孩子要星星,她没办法去亲手,就摘颗送给他。
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有些人在选择男/女朋友时总是有很高的标准,会考虑很多方面。
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但是世界上哪有理想的人啊?
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我觉得十全十美的男/女朋友就是在一起时每天都很开心。
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我理想中的女朋友有两个标准:
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第一,性格要非常温柔;
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第二,要支挡我的工作,即使。
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data/output/HSK1/HSK1-1.phrases.apkg
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data/output/HSK1/HSK1-1.phrases.apkg
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data/resources/HSK1/HSK1-3.dictionary/人.wav
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