change python

app.py

@@ -3,10 +3,49 @@ import gradio as gr
 import torch
 import librosa
 import numpy as np
-from inference import inference
+import subprocess
+import sys
 from huggingface_hub import snapshot_download
 from pathlib import Path
-import os 
+import os
+
+# Runtime installation of madmom
+def install_madmom():
+    """
+    Install madmom at runtime after Cython and numpy are available
+    """
+    try:
+        import madmom
+        print("✅ madmom already installed")
+        return True
+    except ImportError:
+        print("📦 Installing madmom at runtime...")
+        try:
+            subprocess.check_call([
+                sys.executable, "-m", "pip", "install", 
+                "madmom", "--no-cache-dir"
+            ])
+            print("✅ madmom installed successfully")
+            return True
+        except subprocess.CalledProcessError as e:
+            print(f"⚠️ Failed to install madmom: {e}")
+            return False
+
+# Install madmom before importing inference
+madmom_available = install_madmom()
+
+# Import inference after madmom installation
+try:
+    from inference import inference
+except ImportError as e:
+    print(f"⚠️ Failed to import inference: {e}")
+    print("This might be due to missing madmom dependency")
+    
+    def inference(audio_file):
+        return {
+            'matches': [],
+            'message': 'madmom dependency not available'
+        } 
 
 token = os.getenv("HF_TOKEN")
 
@@ -59,7 +98,7 @@ def download_data_from_hub():
             for folder_name in folders_to_check:
                 downloaded_folders[folder_name] = None
     else:
-        print(f"✅ Data folders and files already exist locally")
+        print(f"✅ Data folders already exist locally")
         for folder_name in folders_to_check:
             folder_path = base_dir / folder_name
             if folder_path.exists():
@@ -68,15 +107,6 @@ def download_data_from_hub():
                 downloaded_folders[folder_name] = str(folder_path)
             else:
                 downloaded_folders[folder_name] = None
-        
-        for file_name in files_to_check:
-            file_path = base_dir / file_name
-            if file_path.exists():
-                file_size = file_path.stat().st_size / (1024*1024)  # MB
-                print(f"   📄 {file_name}: {file_size:.1f} MB")
-                downloaded_folders[file_name] = str(file_path)
-            else:
-                downloaded_folders[file_name] = None
     
     return downloaded_folders
 

requirements.txt

@@ -39,7 +39,6 @@ lazy_loader
 libclang
 librosa
 llvmlite
-madmom
 Markdown
 MarkupSafe
 mido