Update app.py

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 import librosa
 import numpy as np
 from pydub import AudioSegment
+from pydub.effects import compress_dynamic_range
 import os
 
 # Titan Intelligence Core
@@ -25,9 +26,15 @@ def engine_v28_titan(input_audio, ref_audio, pressure, active_fix, active_master
         # 1. SONIC DNA SCAN (120 sec limit)
         y, sr = librosa.load(input_audio, duration=120)
         
-        # BPM Detection - FIXED TYPO HERE
+        # BPM Detection - FIX: Removed non-existent .rhythm attribute
         onset_env = librosa.onset.onset_strength(y=y, sr=sr)
-        tempo = librosa.feature.rhythm.tempo(onset_envelope=onset_env, sr=sr)
+        
+        # Version-agnostic Librosa tempo extraction
+        if hasattr(librosa.feature, 'tempo'):
+            tempo = librosa.feature.tempo(onset_envelope=onset_env, sr=sr)
+        else:
+            tempo = librosa.beat.tempo(onset_envelope=onset_env, sr=sr)
+            
         bpm = int(np.atleast_1d(tempo)[0])
         if bpm < 115: 
             bpm *= 2  # DnB/Techno optimizer
@@ -78,13 +85,13 @@ def engine_v28_titan(input_audio, ref_audio, pressure, active_fix, active_master
             target_lufs = -14 + ((pressure / 100) * 8)
             gain_db = target_lufs - (-20)
             
-            # Use compress_dynamic_range (one argument version if newer pydub)
-            audio = audio.compress_dynamic_range(
+            # FIX: Explicitly call compress_dynamic_range and remove invalid 'window' argument
+            audio = compress_dynamic_range(
+                audio,
                 threshold=-20.0,
                 ratio=4.0,
                 attack=12.0,
-                release=100.0,
-                window=5.0
+                release=100.0
             )
             
             optimal_gain = min(gain_db, pressure / 10)
@@ -104,12 +111,12 @@ def engine_v28_titan(input_audio, ref_audio, pressure, active_fix, active_master
         if active_master:
             log += "\n\n✅ MASTERING COMPLETE - Download below!"
 
-        # FIXED: Return exactly 4 values to match Gradio outputs
         return output_path, log, detected_key, str(bpm)
 
     except Exception as e:
         return None, f"ERROR: {str(e)}", "!", "0"
 
+
 def titan_mentor_ai(question):
     if not ghost_titan["analyzed"]: 
         return "Upload a track first."
@@ -133,6 +140,7 @@ def titan_mentor_ai(question):
         return f"BPM: {b} (DnB range 160-180)"
     return f"Status: {k} @ {b} BPM | Crest: {round(ghost_titan['crest'], 1)}dB"
 
+
 css = """
 body, .gradio-container {
     background: #020202 !important; 
@@ -157,6 +165,10 @@ with gr.Blocks(theme=gr.themes.Monochrome(), css=css) as demo:
             out_key = gr.Label(label="KEY")
             out_bpm = gr.Label(label="BPM")
             in_audio = gr.Audio(label="🎵 UPLOAD TRACK", type="filepath")
+            
+            # FIX: Restored reference audio block mapping to 'ref_audio' in engine_v28_titan
+            in_ref = gr.Audio(label="MASTER REFERENCE (Optional)", type="filepath")
+            
             fix_btn = gr.Checkbox(label="🔧 MIX REPAIR", value=False)
             mst_btn = gr.Checkbox(label="🔥 AUTO MASTER", value=False)
             in_pwr = gr.Slider(0, 100, label="GAIN PRESSURE", value=85)
@@ -173,10 +185,16 @@ with gr.Blocks(theme=gr.themes.Monochrome(), css=css) as demo:
 
     exec_btn.click(
         fn=engine_v28_titan, 
-        inputs=[in_audio, in_audio, in_pwr, fix_btn, mst_btn], 
+        # FIX: Replaced duplicate 'in_audio' with 'in_ref' 
+        inputs=[in_audio, in_ref, in_pwr, fix_btn, mst_btn], 
         outputs=[out_audio, out_diag, out_key, out_bpm]
     )
-    chat_btn.click(fn=titan_mentor_ai, inputs=[user_msg], outputs=[chat_out])
+    
+    chat_btn.click(
+        fn=titan_mentor_ai, 
+        inputs=[user_msg], 
+        outputs=[chat_out]
+    )
 
 if __name__ == "__main__":
     demo.launch()