update app

app.py

@@ -13,9 +13,6 @@ processor = CLIPProcessor.from_pretrained(model_id)
 
 
 
-def greet(name):
-    return "Hello " + name + "!!"
-
 def load_data():
     global imagenette
     imagenette = load_dataset(
@@ -33,7 +30,6 @@ def embedding_input(text_input):
 
 def embedding_img():
     global images
-    load_data()
     sample_idx= np.random.randint(0, len(imagenette)+1, 100).tolist()
     images = [imagenette[i]['image'] for i in sample_idx]
     batch_sie = 5
@@ -73,5 +69,6 @@ def norm_val(text_input):
 
 
 if __name__ == "__main__":
+    load_data()
     iface = gr.Interface(fn=norm_val, inputs="text", outputs="image")
     iface.launch(inline = False )