catiR
commited on
Commit
·
ce4ae2c
1
Parent(s):
2dfee05
run clustering
Browse files- app.py +1 -2
- scripts/runSQ.py +1 -0
app.py
CHANGED
@@ -40,7 +40,6 @@ def f1(voices, sent, indices):
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def label_indices(sentence):
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sentence = scripts.runSQ.snorm(sentence)
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sentence = sentence.split(' ')
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-
color_map = {i+1:"#dcfce7" for i in range(len(sentence))}
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labelled = [(f'{word} {i+1} ', i+1) for i, word in enumerate(sentence)]
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return labelled
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@@ -62,7 +61,7 @@ with bl:
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temp_sentmenu = gr.Dropdown(temp_sentences, label="Sentence")
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#voiceselect = gr.CheckboxGroup(voices, label="TTS voice",value='Alfur')
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-
marked_sentence = gr.HighlightedText(interactive=False)
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with gr.Row():
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spanselect = gr.Textbox(value='1-3',info='Enter the index of the word(s) to analyse. It can be a single word: 4 or a span of words separated by a dash: 2-3')
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def label_indices(sentence):
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sentence = scripts.runSQ.snorm(sentence)
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sentence = sentence.split(' ')
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labelled = [(f'{word} {i+1} ', i+1) for i, word in enumerate(sentence)]
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return labelled
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temp_sentmenu = gr.Dropdown(temp_sentences, label="Sentence")
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#voiceselect = gr.CheckboxGroup(voices, label="TTS voice",value='Alfur')
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+
marked_sentence = gr.HighlightedText(interactive=False,color_map = {i:"#dcfce7" for i in range(333)})
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with gr.Row():
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spanselect = gr.Textbox(value='1-3',info='Enter the index of the word(s) to analyse. It can be a single word: 4 or a span of words separated by a dash: 2-3')
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scripts/runSQ.py
CHANGED
@@ -3,6 +3,7 @@ from scripts.ctcalign import aligner, wav16m
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from scripts.tapi import tiro
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from scripts.reaper2pass import estimate_pitch, save_pitch
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import scripts.clusterprosody as cl
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from scripts.tapi import tiro
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from scripts.reaper2pass import estimate_pitch, save_pitch
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import scripts.clusterprosody as cl
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+
import subprocess
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