diff --git a/birdfsd_yolov5/api/README.md b/birdfsd_yolov5/api/README.md
index bd01e1c..ea6c445 100644
--- a/birdfsd_yolov5/api/README.md
+++ b/birdfsd_yolov5/api/README.md
@@ -3,8 +3,7 @@
 - Run locally
 
 ```sh
-cd api
-uvicorn api:app --reload
+python api.py
 ```
 
 ## Example
diff --git a/birdfsd_yolov5/api/api.py b/birdfsd_yolov5/api/api.py
index a74722d..fc5d8d4 100644
--- a/birdfsd_yolov5/api/api.py
+++ b/birdfsd_yolov5/api/api.py
@@ -11,6 +11,7 @@
 from typing import Any, Union
 
 import pandas as pd
+import uvicorn
 from PIL import Image
 from dotenv import load_dotenv
 from fastapi import FastAPI, Response, UploadFile
@@ -158,10 +159,11 @@ def predict_endpoint(file: UploadFile,
     api_s3 = api_utils.create_s3_client(api_s3=True)
     db = mongodb_db()
 
-    model_version, model_name, model_weights, model = model_utils.init_model(
-        s3)
+    model_version, model_name, model_weights, model = model_utils.init_model(s3)
 
     if os.getenv('MODEL_REPO'):
         page = f'{os.getenv("MODEL_REPO")}/releases/tag/{model_version}'
     else:
         page = None
+
+    uvicorn.run(app, host='127.0.0.1', port=8000)
diff --git a/birdfsd_yolov5/api/model_utils.py b/birdfsd_yolov5/api/model_utils.py
index a9726fd..200f6bb 100644
--- a/birdfsd_yolov5/api/model_utils.py
+++ b/birdfsd_yolov5/api/model_utils.py
@@ -2,7 +2,7 @@
 """This module is used to get the latest model weights and information."""
 
 from pathlib import Path
-from typing import Tuple
+from typing import Optional, Tuple
 
 import torch
 from minio import Minio
@@ -42,11 +42,15 @@ def get_latest_model_weights(s3_client: Minio,
     return model_version, model_name, model_object_name
 
 
-def init_model(s3: Minio) -> Tuple[str, str, str, torch.nn.Module]:
+def init_model(
+    s3: Minio,
+    use_weights: Optional[str] = None
+) -> Tuple[str, str, str, torch.nn.Module]:
     """This function initializes the model.
 
     Args:
         s3 (Minio): Minio S3 client object.
+        use_weights (str): Use this weights file instead of the latest model.
 
     Returns:
         model_version: The model version.
@@ -55,8 +59,13 @@ def init_model(s3: Minio) -> Tuple[str, str, str, torch.nn.Module]:
         model: The model object.
 
     """
-    model_version, model_name, model_weights = get_latest_model_weights(
-        s3, skip_download=True)
+    if not use_weights:
+        model_version, model_name, model_weights = get_latest_model_weights(
+            s3, skip_download=True)
+    else:
+        model_version = Path(use_weights).stem
+        model_name = Path(use_weights).stem
+        model_weights = use_weights
 
     if not Path(model_weights).exists():
         model_version, model_name, model_weights = get_latest_model_weights(s3)
diff --git a/notebooks/BirdFSD_YOLOv5_train.ipynb b/notebooks/BirdFSD_YOLOv5_train.ipynb
index a80b941..144a426 100644
--- a/notebooks/BirdFSD_YOLOv5_train.ipynb
+++ b/notebooks/BirdFSD_YOLOv5_train.ipynb
@@ -273,7 +273,10 @@
    "source": [
     "EPOCHS =  100  #@param {type:\"integer\"}\n",
     "BATCH_SIZE = 16  #@param {type:\"integer\"}\n",
-    "PRETRAINED_WEIGHTS = 'yolov5s'  #@param {type:\"string\"}"
+    "if Path('best.pt').exists():\n",
+    "    PRETRAINED_WEIGHTS = 'best.pt'  #@param {type:\"string\"}\n",
+    "else:\n",
+    "    PRETRAINED_WEIGHTS = 'yolov5s'  #@param {type:\"string\"}"
    ]
   },
   {