Update app.py

app.py

@@ -151,30 +151,30 @@ class SpeakerVerification:
 def create_gradio_interface():
     speaker_verifier = SpeakerVerification()
     
-def process_audio(audio1, audio2):
-    try:
-        if audio1 is None or audio2 is None:
-            return "Error: Please provide both audio samples", None
-        
-        probability, decision, score, confidence_metrics = speaker_verifier.verify_speaker(audio1, audio2)
-        emb1 = speaker_verifier.get_embeddings(audio1)
-        emb2 = speaker_verifier.get_embeddings(audio2)
-        
-        embeddings_plot = speaker_verifier.plot_embeddings_comparison(emb1, emb2)
-        
-        result_text = (
-            f"Cosine similarity (threshold=0.25): {score:.3f}\n"
-            f"Decision: {decision}\n"
-            f"Certainty Score: {confidence_metrics['certainty_score']:.2f}\n"
-            f"Threshold Distance: {confidence_metrics['threshold_distance']:.3f}\n"
-            f"Decision Strength: {confidence_metrics['decision_strength']}\n"
-            f"Confidence Level: {confidence_metrics['confidence_level']}"
-        )
+    def process_audio(audio1, audio2):
+        try:
+            if audio1 is None or audio2 is None:
+                return "Error: Please provide both audio samples", None
+            
+            probability, decision, score, confidence_metrics = speaker_verifier.verify_speaker(audio1, audio2)
+            emb1 = speaker_verifier.get_embeddings(audio1)
+            emb2 = speaker_verifier.get_embeddings(audio2)
+            
+            embeddings_plot = speaker_verifier.plot_embeddings_comparison(emb1, emb2)
+            
+            result_text = (
+                f"Cosine similarity (threshold=0.25): {score:.3f}\n"
+                f"Decision: {decision}\n"
+                f"Certainty Score: {confidence_metrics['certainty_score']:.2f}\n"
+                f"Threshold Distance: {confidence_metrics['threshold_distance']:.3f}\n"
+                f"Decision Strength: {confidence_metrics['decision_strength']}\n"
+                f"Confidence Level: {confidence_metrics['confidence_level']}"
+            )
+            
+            return result_text, embeddings_plot
         
-        return result_text, embeddings_plot
-    
-    except Exception as e:
-        return f"Error processing audio: {str(e)}", None
+        except Exception as e:
+            return f"Error processing audio: {str(e)}", None
 
     interface = gr.Interface(
         fn=process_audio,