[update] cli package

app.py

@@ -15,8 +15,6 @@
 
 import gradio as gr
 import wespeaker
-# import wespeakerruntime as wespeaker
-# from sklearn.metrics.pairwise import cosine_similarity
 
 STYLE = """
 <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.3/dist/css/bootstrap.min.css" integrity="sha256-YvdLHPgkqJ8DVUxjjnGVlMMJtNimJ6dYkowFFvp4kKs=" crossorigin="anonymous">
@@ -62,10 +60,6 @@ def speaker_verification(audio_path1, audio_path2, lang='CN'):
     else:
         output = OUTPUT_ERROR.format('Please select a language')
         return output
-    # emb1 = model.extract_embedding(audio_path1)
-    # emb2 = model.extract_embedding(audio_path2)
-    # cos_score = model.compute_cosine_score(emb1[0], emb2[0])
-    # cos_score = (cos_score + 1) / 2.0
     cos_score = wespeaker.compute_similarity(audio_path1, audio_path2)
 
     if cos_score >= 0.70:

requirements.txt

@@ -1,3 +1,4 @@
 gradio
 wespeaker @ git+https://github.com/wenet-e2e/wespeaker.git
 scikit-learn
+httpx==0.24.1