Create app.py

app.py

@@ -0,0 +1,22 @@
+#interface.close()
+
+def car4_classifier(img):
+  img=np.expand_dims(img, 0)
+  img = preprocess_input(img)
+  predictionsA3 = model.predict(img)
+  pred=int(list(np.argmax(predictionsA3, axis=1))[0])
+  if pred==0:
+    car="GTR"
+  elif pred==1:
+    car="Porsche"
+  elif pred==2:
+    car="LEXUS"
+  else :
+    car="Lamborghini"
+  return car
+
+label=gr.outputs.Label(num_top_classes=1)
+
+interface=gr.Interface(fn=car4_classifier, inputs="image", outputs=label, live=False, title="TOSHISTATS-supercar-classifier (GTR,Porsche,Lexus,Lamborghini)")
+
+interface.launch(share=True, debug=True)