Update app.py

app.py

@@ -324,7 +324,7 @@ with gr.Blocks() as demo:
         - For the selected topic (sheet name), find related sentences in the associated PDF text that mention the topic, and classify them by sentiment.
         - For a selected country and topic, describe the adverse growth rate trend over three years using the [**google/flan-t5-base**](https://huggingface.co/google/flan-t5-base).
         """)
-     with gr.Tab("Financial Report Text Analysis"):
+    with gr.Tab("Financial Report Text Analysis"):
         gr.Markdown("## Financial Report Paragraph Selection and Analysis on adverse macro-economy scenario")
 
         with gr.Row():