create app.py

app.py

@@ -0,0 +1,99 @@
+
+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)