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kwabs22
commited on
Commit
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8703cf4
1
Parent(s):
d7a29b8
Bug isolation attempt
Browse files
app.py
CHANGED
@@ -88,7 +88,7 @@ nlp_en_syllable.add_pipe("syllables", after="tagger") #https://spacy.io/universe
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langdropdown_choices = [f"{code}: {name}" for code, name in LANGUAGES.items()]
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nlp = spacy.load('en_core_web_sm')
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translator = Translator()
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def Sentencechunker(sentence):
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Sentchunks = sentence.split(" ")
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@@ -164,23 +164,23 @@ langdest = gr.Dropdown(choices=langdropdown_choices, label="Choose Language", va
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ChunkModeDrop = gr.Dropdown(choices=["Chunks", "Reverse", "Three Word Chunks", "Spelling Chunks"], label="Choose Chunk Type", value="Chunks")
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def FrontRevSentChunk (Chunkmode, Translate, Text, langdest):
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# Define a function to filter out non-verb, noun, or adjective words
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def filter_words(words):
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@@ -2412,7 +2412,7 @@ Each type of knowing involves different cognitive processes and levels of unders
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""")
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with gr.Tab("Transition is the end goal (SOV, SVO, VSO)"):
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gr.Interface(fn=FrontRevSentChunk, inputs=[ChunkModeDrop, "checkbox", "text", langdest], outputs="text", description="Chunks creator")
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with gr.Row():
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with gr.Column():
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gr.Interface(fn=AutoSyllablePractice, inputs="text", outputs="text", description="One Word At A Time | Audio Spelling Practice Using vowels as the seperator")
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langdropdown_choices = [f"{code}: {name}" for code, name in LANGUAGES.items()]
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nlp = spacy.load('en_core_web_sm')
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#translator = Translator()
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def Sentencechunker(sentence):
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Sentchunks = sentence.split(" ")
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ChunkModeDrop = gr.Dropdown(choices=["Chunks", "Reverse", "Three Word Chunks", "Spelling Chunks"], label="Choose Chunk Type", value="Chunks")
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# def FrontRevSentChunk (Chunkmode, Translate, Text, langdest):
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# FinalOutput = ""
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# TransFinalOutput = ""
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# if Chunkmode=="Chunks":
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# FinalOutput += Sentencechunker(Text)
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# if Chunkmode=="Reverse":
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# FinalOutput += ReverseSentenceChunker(Text)
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# if Chunkmode=="Three Word Chunks":
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# FinalOutput += three_words_chunk(Text)
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# if Chunkmode=="Spelling Chunks":
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# FinalOutput += BatchWordChunk(Text)
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# if Translate:
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# TransFinalOutput = FinalOutput
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# translated = translator.translate(TransFinalOutput, dest=langdest[:2])
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# FinalOutput += "\n" + translated.text
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# return FinalOutput
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# Define a function to filter out non-verb, noun, or adjective words
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def filter_words(words):
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""")
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with gr.Tab("Transition is the end goal (SOV, SVO, VSO)"):
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# gr.Interface(fn=FrontRevSentChunk, inputs=[ChunkModeDrop, "checkbox", "text", langdest], outputs="text", description="Chunks creator")
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with gr.Row():
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with gr.Column():
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gr.Interface(fn=AutoSyllablePractice, inputs="text", outputs="text", description="One Word At A Time | Audio Spelling Practice Using vowels as the seperator")
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