refactor: json to markdown

app.py

@@ -35,30 +35,29 @@ def get_alfred_from_dataframe(ecg_id):
 
 
 with gr.Blocks() as demo:
-    with gr.Tab("Grand Open"):
-        with gr.Row():
-            gr_df = gr.Dataframe(
-                value=ptbxl_df,
-                interactive=False,
-                max_height=200,
-                label="All PTB-XL v1.3.0 data (https://physionet.org/content/ptb-xl/1.0.3/ptbxl_database.csv). You can refer to the following URL(https://physionet.org/content/ptb-xl/1.0.3/scp_statements.csv) to understand what 'scp_codes' represent.",
-            )
-
-        with gr.Row():
-            ecg_id_output = gr.Textbox(label="The selected ecg_id is")
-
-        with gr.Row():
-            ecg_viewer = gr.Image(interactive=False, label="The selected ecg is")
-
-        with gr.Row():
-            alfred_result = gr.JSON(value={}, label="Alfred said that")
-
-        gr_df.select(fn=get_ecg_id_from_dataframe, inputs=gr_df, outputs=ecg_id_output)
-        ecg_id_output.change(
-            fn=get_ecg_image_from_dataframe, inputs=ecg_id_output, outputs=ecg_viewer
-        )
-        ecg_id_output.change(
-            fn=get_alfred_from_dataframe, inputs=ecg_id_output, outputs=alfred_result
+    with gr.Row():
+        gr_df = gr.Dataframe(
+            value=ptbxl_df,
+            interactive=False,
+            max_height=200,
+            label="All PTB-XL v1.3.0 data (https://physionet.org/content/ptb-xl/1.0.3/ptbxl_database.csv). You can refer to the following URL(https://physionet.org/content/ptb-xl/1.0.3/scp_statements.csv) to understand what 'scp_codes' represent.",
         )
 
+    with gr.Row():
+        ecg_id_output = gr.Textbox(label="The selected ecg_id is")
+
+    with gr.Row():
+        ecg_viewer = gr.Image(interactive=False, label="The selected ecg is")
+
+    with gr.Row():
+        alfred_result = gr.Markdown(value={}, label="Alfred said that")
+
+    gr_df.select(fn=get_ecg_id_from_dataframe, inputs=gr_df, outputs=ecg_id_output)
+    ecg_id_output.change(
+        fn=get_ecg_image_from_dataframe, inputs=ecg_id_output, outputs=ecg_viewer
+    )
+    ecg_id_output.change(
+        fn=get_alfred_from_dataframe, inputs=ecg_id_output, outputs=alfred_result
+    )
+
 demo.launch()