added title and examples to the UI

app.py

@@ -13,9 +13,21 @@ classif_pipeline = pipeline(
     "image-classification", model=classif_model, feature_extractor=feature_extractor
 )
 
+OUTPUT_SENTENCE = "This image is {result}."
+
+
+def get_formatted_prediction(img) -> str:
+    return OUTPUT_SENTENCE.format(
+        result=classif_pipeline(img)[0]["label"].replace("-", " ")
+    )
+
+
 demo = gr.Interface(
-    fn=lambda x: classif_pipeline(x)[0]["label"],
+    fn=get_formatted_prediction,
     inputs=gr.Image(type="pil"),
     outputs="text",
+    title="ImageIN",
+    description="Identify illustrations in pages of historical books!",
+    examples=["old_book_page.png", "women_book_image.png", "page_with_images.png"],
 )
-demo.launch()
+demo.launch()