it works \(^-^)/

app.py

@@ -85,8 +85,7 @@ def search(query, ds, k=3):
         tokens = q_tokenizer(query, return_tensors="pt")
         query_embed = q_encoder(**tokens)[0][0].detach().numpy()
         scores, retrieved_examples = ds.get_nearest_examples("embeddings", query_embed, k=k)
-        out = f"""title : {retrieved_examples["title"][0]},\ncontent: {retrieved_examples["text"][0]}
-        similar resources: {retrieved_examples["title"]}
+        out = f"""**title** : {retrieved_examples["title"][0]},\ncontent: {retrieved_examples["text"][0]}\n\n\n**similar resources:** {retrieved_examples["title"]}
         """
     except Exception as e:
         out = f"error in search: {e}"
@@ -112,7 +111,7 @@ with gr.Blocks() as demo :
                 k = gr.Number(value=3,show_label=False,precision=0,minimum=1,container=False)
             button = gr.Button("search")
         with gr.Column():
-            output = gr.Textbox(label="output")
+            output = gr.Markdown(label="output")
     button.click(predict, [query,files,k],outputs=output)
 
 demo.launch()