Update utils.py

utils.py

@@ -1,100 +1,40 @@
-# main.py
+# utils.py
 
 import os
-from pathlib import Path
-from mdx_core import MDX
-import json
+import requests
+from log import logger
 
-MDX_DOWNLOAD_LINK = "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/"
-UVR_MODELS = [
-    "UVR-MDX-NET-Voc_FT.onnx",
-    "UVR_MDXNET_KARA_2.onnx",
-    "Reverb_HQ_By_FoxJoy.onnx",
-    "UVR-MDX-NET-Inst_HQ_4.onnx",
-]
 
-BASE_DIR = Path(__file__).resolve().parent
-mdxnet_models_dir = BASE_DIR / "mdx_models"
+def create_directories(path):
+    os.makedirs(path, exist_ok=True)
 
-# Ensure mdx_models is a directory
-if mdxnet_models_dir.exists() and not mdxnet_models_dir.is_dir():
-    mdxnet_models_dir.unlink()
-mdxnet_models_dir.mkdir(parents=True, exist_ok=True)
 
+def remove_directory_contents(path):
+    if not os.path.exists(path):
+        return
+    for filename in os.listdir(path):
+        file_path = os.path.join(path, filename)
+        if os.path.isfile(file_path):
+            os.remove(file_path)
+        elif os.path.isdir(file_path):
+            import shutil
+            shutil.rmtree(file_path)
 
-# 🔧 Auto-generate fallback data.json if needed
-def generate_data_json(mdxnet_models_dir):
-    presets = {
-        "UVR-MDX-NET-Voc_FT.onnx": {
-            "mdx_dim_f_set": 2048,
-            "mdx_dim_t_set": 3,
-            "mdx_n_fft_scale_set": 6144,
-            "primary_stem": "Vocals",
-            "compensate": 1.035
-        },
-        "UVR_MDXNET_KARA_2.onnx": {
-            "mdx_dim_f_set": 1024,
-            "mdx_dim_t_set": 3,
-            "mdx_n_fft_scale_set": 4096,
-            "primary_stem": "Main",
-            "compensate": 1.035
-        },
-        "UVR-MDX-NET-Inst_HQ_4.onnx": {
-            "mdx_dim_f_set": 2048,
-            "mdx_dim_t_set": 3,
-            "mdx_n_fft_scale_set": 6144,
-            "primary_stem": "Instrumental",
-            "compensate": 1.0
-        },
-        "Reverb_HQ_By_FoxJoy.onnx": {
-            "mdx_dim_f_set": 2048,
-            "mdx_dim_t_set": 3,
-            "mdx_n_fft_scale_set": 6144,
-            "primary_stem": "Vocals",
-            "compensate": 1.035
-        },
-    }
 
-    data = {}
-    for filename, params in presets.items():
-        path = mdxnet_models_dir / filename
-        if path.exists():
-            model_hash = MDX.get_hash(str(path))
-            data[model_hash] = params
+def download_manager(url, output_dir):
+    filename = os.path.basename(url)
+    output_path = os.path.join(output_dir, filename)
+    if os.path.exists(output_path):
+        return output_path
 
-    with open(mdxnet_models_dir / "data.json", "w") as f:
-        json.dump(data, f, indent=2)
-    print("✅ Auto-generated data.json with", len(data), "entries.")
+    logger.info(f"Downloading: {filename}")
+    os.makedirs(os.path.dirname(output_path), exist_ok=True)  # Ensure directory exists
 
+    with requests.get(url, stream=True) as r:
+        r.raise_for_status()
+        with open(output_path, 'wb') as f:
+            for chunk in r.iter_content(chunk_size=8192):
+                f.write(chunk)
 
-# Check for data.json and create if missing
-json_path = mdxnet_models_dir / "data.json"
-print("🔍 Checking for data.json at:", json_path)
-print("📁 mdx_models contents:", list(mdxnet_models_dir.iterdir()))
-print("📂 Current working directory:", os.getcwd())
-
-if not json_path.exists():
-    print("⚠️ data.json missing, generating fallback.")
-    generate_data_json(mdxnet_models_dir)
-else:
-    print("✅ data.json found.")
-
-
-def download_models():
-    for model in UVR_MODELS:
-        url = os.path.join(MDX_DOWNLOAD_LINK, model)
-        download_manager(url, str(mdxnet_models_dir))
-
-
-if __name__ == "__main__":
-    download_models()
-    theme = "NoCrypt/miku"
-    app = get_gui(theme)
-    app.queue(default_concurrency_limit=40)
-    app.launch(
-        max_threads=40,
-        share=False,
-        show_error=True,
-        quiet=False,
-        debug=False,
-    )
+    logger.info(f"Downloaded: {filename}")
+    return output_path