Update app.py

app.py

@@ -9,7 +9,7 @@ examples = ["examples/example_0.jpg",
             "examples/example_5.png"]
 
 pipe = pipeline(task="image-classification", 
-                model="Kaludi/csgo-weapon-classification")
+                model="getesper/Weapons_class")
 gr.Interface.from_pipeline(pipe, 
                            title="CSGO Weapon Image Classification",
                            description = "This is a CSGO Weapon Classifier Model that has been trained by <strong><a href='https://huggingface.co/Kaludi'>Kaludi</a></strong> to recognize <strong>11</strong> different types of Counter-Strike: Global Offensive (CSGO) Weapons, which include <strong>AK-47,AWP,Famas,Galil-AR,Glock,M4A1,M4A4,P-90,SG-553,UMP,USP</strong>. The model is capable of accurately classifying the weapon name present in an image. With its deep understanding of the characteristics of each weapon in the game, the model is a valuable tool for players and fans of CSGO.",