feat: switch to latest model

app.py

@@ -2,15 +2,14 @@ import gradio as gr
 import torch
 from PIL import Image
 import numpy as np
-from huggingface_hub import hf_hub_download
 
 import cv2
 
 # Download the model from Hugging Face Hub
-model_path = hf_hub_download(repo_id='ethandavey/yoloV5-coursework-model', filename='model.pt')
+model_path = 'local_latest.pt'
 
 # Load the YOLOv5 model
-model = torch.hub.load('ultralytics/yolov5', 'custom', path=model_path, source='github')
+model = torch.hub.load('ultralytics/yolov5', 'custom', path=model_path, source='local')
 model.line_thickness = 3  # Set the thickness of the bounding box lines
 
 # Print model class names

latest.pt → local_latest.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a02b20ec782cc8e78cd37c1b1126505d6537c9017d62e2b81ca468920c2efd21
-size 14346792
+oid sha256:56ffacbde772706c45eef26d0cd72b21f3d28e5e383c8d0945bd0ac283fc8b6d
+size 14346728