Update app.py

app.py

@@ -306,22 +306,6 @@ def analyze_audio(audio_path):
 
     return stats, image
 
-# === Speaker Matching (Voiceprint) ===
-from resemblyzer import preprocess_wav, VoiceEncoder
-
-encoder = VoiceEncoder()
-
-def match_speakers(clip1, clip2):
-    try:
-        wav1 = preprocess_wav(clip1)
-        wav2 = preprocess_wav(clip2)
-        embed1 = encoder.embed_utterance(wav1)
-        embed2 = encoder.embed_utterance(wav2)
-        similarity = np.inner(embed1, embed2)
-        return f"Speaker Match Score: {similarity:.2f}"
-    except Exception as e:
-        return f"⚠️ Error: {str(e)}"
-
 # === Mix Two Tracks ===
 def mix_tracks(track1, track2, volume_offset=0):
     a1 = AudioSegment.from_file(track1)
@@ -443,17 +427,17 @@ with gr.Blocks(title="AI Audio Studio", css="style.css") as demo:
             description="Type anything and turn it into natural-sounding speech."
         )
 
-    # --- Speaker Matching ---
-    with gr.Tab("🧏‍♂️ Match Speakers"):
+    # --- Audio Analysis Dashboard ---
+    with gr.Tab("📊 Audio Analysis"):
         gr.Interface(
-            fn=match_speakers,
-            inputs=[
-                gr.File(label="Clip 1"),
-                gr.File(label="Clip 2")
+            fn=analyze_audio,
+            inputs=gr.Audio(label="Upload Track", type="filepath"),
+            outputs=[
+                gr.JSON(label="Audio Stats"),
+                gr.Image(label="Waveform Graph")
             ],
-            outputs=gr.Textbox(label="Match Score", lines=1),
-            title="Are These the Same Person?",
-            description="Detect speaker similarity using AI."
+            title="View Loudness, BPM, Silence, and More",
+            description="Analyze audio loudness, tempo, and frequency content."
         )
 
     # --- Mix Two Tracks ---