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Update app.py
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app.py
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@@ -1,5 +1,4 @@
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"""
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Simple demo app.
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Copyright PolyAI Limited.
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"""
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@@ -10,7 +9,7 @@ import gradio as gr
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from transformer_infer import PhemeClient, parse_arguments
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-
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VOICE_OPTIONS = [
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"male_voice",
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"POD1000000004_S0000246",
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@@ -18,7 +17,6 @@ VOICE_OPTIONS = [
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"POD1000000048_S0000035",
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"YOU1000000006_S0000051",
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"YOU1000000044_S0000798",
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"empress",
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]
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args = parse_arguments()
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@@ -45,15 +43,15 @@ def inference(
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def main():
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title = "Pheme"
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description = """Model can generate a variety of conversational voices."""
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text = gr.Textbox(
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lines=3,
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value="
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label="Text",
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)
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voice = gr.Dropdown(
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VOICE_OPTIONS, value="
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)
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temperature = gr.Slider(minimum=.3, maximum=1.5, value=0.7, step=0.05)
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top_k = gr.Slider(minimum=10, maximum=250, value=210)
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"""Simple demo app.
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Copyright PolyAI Limited.
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"""
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from transformer_infer import PhemeClient, parse_arguments
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VOICE_OPTIONS = [
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"male_voice",
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"POD1000000004_S0000246",
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"POD1000000048_S0000035",
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"YOU1000000006_S0000051",
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"YOU1000000044_S0000798",
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]
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args = parse_arguments()
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def main():
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title = "Pheme"
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description = """Pheme Model can generate a variety of conversational voices in 16 kHz for phone-call applications."""
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text = gr.Textbox(
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lines=3,
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value="I gotta say, I never expect that to happened. Um I had some expectations but you know.",
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label="Text",
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)
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voice = gr.Dropdown(
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VOICE_OPTIONS, value="POD1000000048_S0000035", label="Select voice:", type="value"
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)
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temperature = gr.Slider(minimum=.3, maximum=1.5, value=0.7, step=0.05)
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top_k = gr.Slider(minimum=10, maximum=250, value=210)
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