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import ssl
ssl._create_default_https_context = ssl._create_unverified_context
import gradio as gr
import wespeaker
STYLE = """
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" integrity="sha256-YvdLHPgkqJ8DVUxjjnGVlMMJtNimJ6dYkowFFvp4kKs=" crossorigin="anonymous">
"""
OUTPUT_OK = (STYLE + """
<div class="container">
<div class="row"><h1 style="text-align: center">The speakers are</h1></div>
<div class="row"><h1 class="display-1 text-success" style="text-align: center">{:.1f}%</h1></div>
<div class="row"><h1 style="text-align: center">similar</h1></div>
<div class="row"><h1 class="text-success" style="text-align: center">Welcome, brother!</h1></div>
</div>
""")
OUTPUT_FAIL = (STYLE + """
<div class="container">
<div class="row"><h1 style="text-align: center">The speakers are</h1></div>
<div class="row"><h1 class="display-1 text-danger" style="text-align: center">{:.1f}%</h1></div>
<div class="row"><h1 style="text-align: center">similar</h1></div>
<div class="row"><h1 class="text-danger" style="text-align: center">Warning! stranger!</h1></div>
</div>
""")
OUTPUT_ERROR = (STYLE + """
<div class="container">
<div class="row"><h1 style="text-align: center">Input Error</h1></div>
<div class="row"><h1 class="text-danger" style="text-align: center">{}!</h1></div>
</div>
""")
cn_model = wespeaker.load_model("chinese")
en_model = wespeaker.load_model("english")
def speaker_verification(audio_path1, audio_path2, lang='CN'):
if audio_path1 == None or audio_path2 == None:
output = OUTPUT_ERROR.format('Please enter two audios')
return output
if lang == 'EN':
model = en_model
elif lang == 'CN':
model = cn_model
else:
output = OUTPUT_ERROR.format('Please select a language')
return output
cos_score = model.compute_similarity(audio_path1, audio_path2)
if cos_score >= 0.83:
output = OUTPUT_OK.format(cos_score * 100)
else:
output = OUTPUT_FAIL.format(cos_score * 100)
return output
# input
inputs = [
gr.inputs.Audio(source="microphone",
type="filepath",
optional=True,
label='Speaker#1'),
gr.inputs.Audio(source="microphone",
type="filepath",
optional=True,
label='Speaker#2'),
gr.Radio(['EN', 'CN'], label='Language'),
]
output = gr.outputs.HTML(label="")
# description
description = ("<p>VoicePrint Demo ! Note: We recommend that the audio length be greater than 2s !</p>")
examples = [
['examples/BAC009S0764W0228.wav', 'examples/BAC009S0764W0328.wav', 'CN'],
['examples/BAC009S0913W0133.wav', 'examples/BAC009S0764W0228.wav', 'CN'],
['examples/00001_spk1.wav', 'examples/00003_spk2.wav', 'EN'],
['examples/00010_spk2.wav', 'examples/00024_spk1.wav', 'EN'],
['examples/00001_spk1.wav', 'examples/00024_spk1.wav', 'EN'],
['examples/00010_spk2.wav', 'examples/00003_spk2.wav', 'EN'],
]
interface = gr.Interface(
fn=speaker_verification,
inputs=inputs,
outputs=output,
title="VoicePrint Recognition-声纹识别",
description=description,
examples=examples,
theme="huggingface",
)
interface.launch(enable_queue=True,server_name="0.0.0.0",server_port=10001)
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