Update app.py

app.py

@@ -193,14 +193,14 @@ a.link{
             _, left, right, _ = mainContain.columns((1, 2, 4, 1))
             img = load_image(image_file)
             left.image(img)
-            left.text("It'll take about 30s to load all new images")
+            left.markdown("It'll take about 30s to load all new images")
             results = image_comparison(img)
             right.markdown(get_html(results, "small"), unsafe_allow_html=True)  
         
             image_embedding = image_query_embedding(img)
             values, indices = most_similars(image_embedding, text_embeddings)
             for i, sim in zip(indices, torch.softmax(values, dim=0)):
-                left.text(f'{round(float(sim * 100), 1)} | {categories[i]}')
+                left.markdown(f'{round(float(sim * 100), 1)} | {categories[i]}')
 
 
 if __name__ == '__main__':