Update app.py

app.py

@@ -293,14 +293,9 @@ with gr.Blocks() as demo:
         send_btn.click(fn=inference_sentence, inputs=input, outputs=output)
     with gr.Tab("Dataset"):
         gr.Markdown("""
-        # Demo EmotioNL
-        This demo allows you to analyse the emotions in a dataset with Dutch sentences.
-        _! As we are currently updating this demo, submitting your own data is unavailable for the moment ! However, you can try out the showcase mode 😊_
-        
-        The data should be in tsv-format with two named columns: the first column (id) should contain the sentence IDs, and the second column (text) should contain the actual texts. Optionally, there is a third column named 'date', which specifies the date associated with the text (e.g., tweet date). This column is necessary when the options 'emotion distribution over time' and 'peaks' are selected.
-        
-        You can also try out the demo in  showcase mode, which uses example data, namely a dataset with tweets about the COVID-19 pandemic.
-        """)
+                _As we are currently updating this demo, submitting your own data is unavailable for the moment._
+                _Try out the showcase mode._
+                """)
         with gr.Row():
             with gr.Column():
                 input_file = gr.File(