Create app.py

app.py

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+import gradio as gr
+import cv2
+import numpy as np
+
+def predict(image):
+  result =model.predict(source =image,imgsz = 640, conf = 0.25)
+  annotated_image =result[0].plot()
+  annotated_image[:, :, ::-1]
+  return annotated_image
+
+app = gr.Interface(
+    fn = predict,
+    inputs = gr.Image(type = "numpy", label ="Upload an Image"),
+    outputs = gr.Image(type = "numpy", label ="Detect a Tooth Cavity"),
+    title = "Tooth Cavity Detection Using YOLO V10 made by Pulastya 😎",
+    description = "Upload an Image ant eh YOLO V10 model will detect and Annotate the Tooth Decay"
+)
+app.launch()