Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+import yolov5
+
+# load model
+model = yolov5.load('keremberke/yolov5m-license-plate')
+
+# set model parameters
+model.conf = 0.5  # NMS confidence threshold
+model.iou = 0.25  # NMS IoU threshold
+model.agnostic = False  # NMS class-agnostic
+model.multi_label = False  # NMS multiple labels per box
+model.max_det = 1000  # maximum number of detections per image
+
+def greet(img):
+    results = model(img, size=640)
+
+    return "Hello " + str(results.pred) + "!!"
+
+iface = gr.Interface(fn=greet, inputs="Image", outputs="text")
+iface.launch()