commit

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-#import torch
+import torch
 import yolov5
 import subprocess
 import tempfile
@@ -59,7 +59,7 @@ image_interface = gr.Interface(
     #gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.45, step=0.05, label="IOU Threshold")
 ],
     outputs=gr.outputs.Image(type="filepath", label="Output Image"),
-    title="Obiect detection model p",
+    title="Object Detector: Identify People Without Mask",
     examples=[['img1.png', 'alshimaa/yolo5_epoch100', 640, 0.25, 0.45], ['img2.png', 'alshimaa/yolo5_epoch100', 640, 0.25, 0.45], ['img3.png', 'alshimaa/yolo5_epoch100', 640, 0.25, 0.45]],
     cache_examples=True,
     theme='huggingface',

requirements.txt

@@ -1,4 +1,4 @@
 gradio
 torch
-yolov5detect
+yolov5
 HfApi