Update app.py
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app.py
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@@ -1,3 +1,5 @@
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import gradio as gr
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from TTS.api import TTS
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@@ -5,17 +7,39 @@ from TTS.api import TTS
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# voice_conversion_models/multilingual/multi-dataset/openvoice_v1
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# voice_conversion_models/multilingual/multi-dataset/openvoice_v2
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tts = TTS(model_name="voice_conversion_models/multilingual/vctk/freevc24", gpu=False)
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return "output.wav"
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demo = gr.Interface(fn=greet, inputs=[gr.Audio(value="kratos.wav", type="filepath"),
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gr.Audio(value="nikole_kidman.wav", type="filepath")
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outputs=gr.Audio(type="filepath"))
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demo.launch()
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from random import choices
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import gradio as gr
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from TTS.api import TTS
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# voice_conversion_models/multilingual/multi-dataset/openvoice_v1
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# voice_conversion_models/multilingual/multi-dataset/openvoice_v2
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tts = TTS(model_name="voice_conversion_models/multilingual/vctk/freevc24", gpu=False)
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tts2 = TTS(model_name="voice_conversion_models/multilingual/multi-dataset/knnvc", gpu=False)
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tts3 = TTS(model_name="voice_conversion_models/multilingual/multi-dataset/openvoice_v1", gpu=False)
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tts4 = TTS(model_name="voice_conversion_models/multilingual/multi-dataset/openvoice_v2", gpu=False)
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def greet(source, target, choices_s):
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if choices_s == "freevc24":
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tts.voice_conversion_to_file(
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source_wav=source,
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target_wav=target,
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file_path="output.wav"
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)
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elif choices_s == "knnvc":
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tts2.voice_conversion_to_file(
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source_wav=source,
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target_wav=target,
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file_path="output.wav"
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)
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elif choices_s == "openvoice_v1":
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tts3.voice_conversion_to_file(
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source_wav=source,
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target_wav=target,
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file_path="output.wav"
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)
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elif choices_s == "openvoice_v2":
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tts4.voice_conversion_to_file(
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source_wav=source,
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target_wav=target,
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file_path="output.wav"
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)
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return "output.wav"
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demo = gr.Interface(fn=greet, inputs=[gr.Audio(value="kratos.wav", type="filepath"),
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gr.Audio(value="nikole_kidman.wav", type="filepath"),
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gr.Dropdown(choices=["freevc24", "knnvc", "openvoice_v1", "openvoice_v2"])],
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outputs=gr.Audio(type="filepath"))
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demo.launch()
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