added examples

app.py

@@ -16,6 +16,15 @@ tokenizer = AutoTokenizer.from_pretrained("google/siglip-base-patch16-256-multil
 num_dimensions = model.vision_model.config.hidden_size # 768
 num_k = 30
 
+text_examples = [
+    "Frog waiting on a rock",
+    "Bird with open mouth",
+    "Bridge and a ship",
+    "Bike for two people",
+    "Biene auf der Blume",
+    "Hesap makinesi"
+]
+
 def preprocess_images(pathname="images/*", index_file="index.faiss"):
   print("Preprocessing images...")
   index = faiss.IndexFlatIP(num_dimensions) # Build the index using Inner Product (IP) similarity.
@@ -109,16 +118,20 @@ if __name__ == "__main__":
       with gr.Column():
         gr.Markdown("This app is powered by [SigLIP](https://huggingface.co/google/siglip-base-patch16-256-multilingual) with multilingual support and [GPR1200 Dataset](https://www.kaggle.com/datasets/mathurinache/gpr1200-dataset) image contents. Enter your query in the text box or upload an image to search for similar images.")
         with gr.Tab("Text-Image Search"):
-          text_input = gr.Textbox(label="Type a word or a sentence", placeholder="a frog waiting on a rock")
+          text_input = gr.Textbox(label="Type a word or a sentence")
           search_using_text_btn = gr.Button("Search with text", scale=0)
-            
+          gr.Examples(
+            examples = text_examples,
+            inputs = [text_input]
+          )
+
         with gr.Tab("Image-Image Search"):
           image_input = gr.Image()
           search_using_image_btn = gr.Button("Search with image", scale=0)
 
       gallery = gr.Gallery(label="Generated images", show_label=False,
                           elem_id="gallery", columns=3,
-                          object_fit="contain", interactive=False, scale=3)
+                          object_fit="contain", interactive=False, scale=2.75)
 
     search_using_text_btn.click(search_using_text, inputs=text_input, outputs=gallery)
     search_using_image_btn.click(search_using_image, inputs=image_input, outputs=gallery)