Update app.py

app.py

@@ -39,18 +39,11 @@ def inference(query):
     plt.savefig("img.png")
     return "img.png"
 
-examples= ['a family standing next to the ocean on a sandy beach with a surf board',
-           'a group of people sitting in an audience with pen and paper',
-           'a couple of cows that are in some grass'         
-          ]
-
 gr.Interface(
     fn=inference,
     title="Natural language image search with a Dual Encoder",
     description = "Implementation of a dual encoder model for retrieving images that match natural language queries (Note: for demo purposes, only 1k images were used as search space)",
     inputs="text",
-    examples=examples,
     outputs="image",
     cache_examples=False,
-    article = "Author: <a href=\"https://huggingface.co/vumichien\">Vu Minh Chien</a>. Based on the keras example from <a href=\"https://keras.io/examples/nlp/nl_image_search/\">Khalid Salama</a>",
-).launch(debug=True, enable_queue=True)
+    ).launch(debug=True, enable_queue=True)