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CPU Upgrade
Running
on
CPU Upgrade
mrfakename
commited on
Commit
•
4478ce8
1
Parent(s):
d3178d1
Update app.py
Browse files
app.py
CHANGED
@@ -15,7 +15,7 @@ with open('harvard_sentences.txt') as f:
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# Constants
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####################################
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AVAILABLE_MODELS = {
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-
'XTTS': '
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'WhisperSpeech': 'whisperspeech',
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'ElevenLabs': 'eleven',
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'OpenVoice': 'openvoice',
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@@ -472,11 +472,11 @@ with gr.Blocks() as leaderboard:
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# vote.load(reload, outputs=[aud1, aud2, model1, model2])
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def doloudnorm(path):
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data, rate = sf.read(path
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meter = pyln.Meter(rate)
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loudness = meter.integrated_loudness(data)
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loudness_normalized_audio = pyln.normalize.loudness(data, loudness, -12.0)
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sf.write(path, loudness_normalized_audio, rate
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############
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# 2x speedup (hopefully)
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############
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@@ -496,9 +496,11 @@ def synthandreturn(text):
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log_text(text)
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print("[debug] Using", mdl1, mdl2)
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def predict_and_update_result(text, model, result_storage):
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print(model, AVAILABLE_MODELS[model])
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result = router.predict(text, AVAILABLE_MODELS[model], api_name="/synthesize")
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result_storage[model] = result
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results = {}
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thread1 = threading.Thread(target=predict_and_update_result, args=(text, mdl1, results))
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# Constants
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####################################
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AVAILABLE_MODELS = {
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'XTTS': 'xtts',
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'WhisperSpeech': 'whisperspeech',
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'ElevenLabs': 'eleven',
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'OpenVoice': 'openvoice',
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# vote.load(reload, outputs=[aud1, aud2, model1, model2])
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def doloudnorm(path):
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data, rate = sf.read(path)
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meter = pyln.Meter(rate)
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loudness = meter.integrated_loudness(data)
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loudness_normalized_audio = pyln.normalize.loudness(data, loudness, -12.0)
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sf.write(path, loudness_normalized_audio, rate)
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############
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# 2x speedup (hopefully)
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############
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log_text(text)
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print("[debug] Using", mdl1, mdl2)
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def predict_and_update_result(text, model, result_storage):
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result = router.predict(text, AVAILABLE_MODELS[model], api_name="/synthesize")
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try:
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doloudnorm(result)
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except:
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pass
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result_storage[model] = result
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results = {}
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thread1 = threading.Thread(target=predict_and_update_result, args=(text, mdl1, results))
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