Create new file

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+import torch
+import torchvision
+import numpy as np
+from PIL import Image
+
+model = torch.hub.load('ultralytics/yolov5', 'yolov5s', pretrained=True)
+
+def inference(im):
+    results = model(imgs)
+    
+    results.render()  # updates results.imgs with boxes and labels
+    
+    return Image.fromarray(results.imgs[0])
+
+
+inputs = gr.inputs.Image(type='pil', label="Original Image")
+outputs = gr.outputs.Image(type="pil", label="Output Image")
+
+title = "Yolo demo"
+description = "Demo of Yolo for EAAI"
+
+gr.Interface(inference, inputs, outputs, title=title, description=description).launch(enable_queue=True)