diff --git a/rvc_inferpy/infer.py b/rvc_inferpy/infer.py
index 5555477..32dac57 100644
--- a/rvc_inferpy/infer.py
+++ b/rvc_inferpy/infer.py
@@ -9,6 +9,7 @@
     adjust_audio_lengths,
     combine_silence_nonsilent,
 )
+from rvc_inferpy.config_loader import *  
 import torch
 from pathlib import Path
 import requests
@@ -21,6 +22,17 @@
 models_dir = "models"
 
 
+
+validate_config_and_files()
+
+BaseLoader(hubert_path=hubert_model_path, rmvpe_path=rmvpe_model_path)
+rvcbasdl = lambda: print("RVC-based loader initialized.")  # Replace with the actual function
+rvcbasdl()
+
+
+
+
+
 class Configs:
     def __init__(self, device, is_half):
         self.device = device
@@ -85,101 +97,9 @@ def get_model(voice_model):
     )
 
 
-BASE_DIR = Path(".")
-files_to_check = ["hubert_base.pt", "rmvpe.pt", "fcpe.pt"]
-
-missing_files = [file for file in files_to_check if not (BASE_DIR / file).exists()]
-
-
-def dl_model(link, model_name, dir_name):
-    url = f"{link}/{model_name}"
-    target_path = dir_name / model_name
-    target_path.parent.mkdir(parents=True, exist_ok=True)  # Ensure directory exists
-
-    torch.hub.download_url_to_file(url, str(target_path))
-    print(f"{model_name} downloaded successfully!")
-
-
-if missing_files:
-    RVC_DOWNLOAD_LINK = "https://huggingface.co/theNeofr/rvc-base/resolve/main"  # Replace with the actual download link
-
-    for model in missing_files:
-        print(f"Downloading {model}...")
-        dl_model(RVC_DOWNLOAD_LINK, model, BASE_DIR)
-
-    print("All missing models have been downloaded!")
-else:
-    pass
-
-
-def extract_zip(extraction_folder, zip_name):
-    os.makedirs(extraction_folder, exist_ok=True)
-    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}."
-        )
-
-    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 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_rvc_model(url, dir_name):
-    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):
-            raise Exception(
-                f"Voice model directory {dir_name} already exists! Choose a different name for your voice model."
-            )
-
-        if "pixeldrain.com" in url:
-            url = f"https://pixeldrain.com/api/file/{zip_name}"
-        if "drive.google.com" in url:
-            zip_name = dir_name + ".zip"
-            gdown.download(
-                url, output=zip_name, use_cookies=True, quiet=True, fuzzy=True
-            )
-        else:
-            urllib.request.urlretrieve(url, zip_name)
 
-        print(f"[~] Extracting zip file...")
-        extract_zip(extraction_folder, zip_name)
-        print(f"[+] {dir_name} Model successfully downloaded!")
 
-    except Exception as e:
-        raise Exception(str(e))
 
 
 def infer_audio(
@@ -205,12 +125,11 @@ def infer_audio(
     f0_autotune=False,
     audio_format="wav",
     resample_sr=0,
-    hubert_model_path="hubert_base.pt",
-    rmvpe_model_path="rmvpe.pt",
-    fcpe_model_path="fcpe.pt",
+    hubert_model_path=hubert_model_path,
+    rmvpe_model_path=rmvpe_model_path,
+    fcpe_model_path=fcpe_model_path,
 ):
-    os.environ["rmvpe_model_path"] = rmvpe_model_path
-    os.environ["fcpe_model_path"] = fcpe_model_path
+    
     configs = Configs("cuda:0", True)
     vc = VC(configs)
     pth_path, index_path = get_model(model_name)