Create download_model.py

download_model.py

@@ -0,0 +1,61 @@
+def extract_zip(extraction_folder, zip_name):
+    os.makedirs(extraction_folder)
+    with zipfile.ZipFile(zip_name, 'r') as zip_ref:
+        zip_ref.extractall(extraction_folder)
+    os.remove(zip_name)
+
+    index_filepath, model_filepath = None, None
+    for root, dirs, files in os.walk(extraction_folder):
+        for name in files:
+            if name.endswith('.index') and os.stat(os.path.join(root, name)).st_size > 1024 * 100:
+                index_filepath = os.path.join(root, name)
+
+            if name.endswith('.pth') and os.stat(os.path.join(root, name)).st_size > 1024 * 1024 * 40:
+                model_filepath = os.path.join(root, name)
+
+    if not model_filepath:
+        raise Exception(f'No .pth model file was found in the extracted zip. Please check {extraction_folder}.')
+
+    # move model and index file to extraction folder
+    os.rename(model_filepath, os.path.join(extraction_folder, os.path.basename(model_filepath)))
+    if index_filepath:
+        os.rename(index_filepath, os.path.join(extraction_folder, os.path.basename(index_filepath)))
+
+    # remove any unnecessary nested folders
+    for filepath in os.listdir(extraction_folder):
+        if os.path.isdir(os.path.join(extraction_folder, filepath)):
+            shutil.rmtree(os.path.join(extraction_folder, filepath))
+
+
+def download_online_model(url, dir_name, models_dir='./rvc_models'):
+    try:
+        print(f'[~] Downloading voice model with name {dir_name}...')
+        zip_name = url.split('/')[-1]
+        extraction_folder = os.path.join(models_dir, dir_name)
+        
+        if os.path.exists(extraction_folder):
+            return f'[!] Voice model directory {dir_name} already exists! Choose a different name for your voice model.'
+
+        # Download from pixeldrain
+        if 'pixeldrain.com' in url:
+            url = f'https://pixeldrain.com/api/file/{zip_name}'
+            urllib.request.urlretrieve(url, zip_name)
+        # Download from Google Drive
+        elif 'drive.google.com' in url:
+            zip_name = dir_name + ".zip"
+            gdown.download(url, output=zip_name, use_cookies=True, quiet=True)
+        else:
+            # General URL download
+            urllib.request.urlretrieve(url, zip_name)
+
+        print(f'[~] Extracting zip file...')
+        extract_zip(extraction_folder, zip_name)
+        print(f'[+] {dir_name} Model successfully downloaded!')
+        
+        # Return success message after successful download
+        return f"[+] {dir_name} Model successfully downloaded!"
+
+    except Exception as e:
+        # Return the error message instead of raising an exception
+        return f'[!] Error: {str(e)}'
+