Update app.py

app.py

@@ -91,8 +91,11 @@ def sentiment_analysis(sentence, model_name):
 demo = gr.Interface(fn=sentiment_analysis,
                     inputs = [gr.Textbox(placeholder="Enter sentence here. If you have multiple sentences, separate them with '\\n'.",label="Sentence",lines=5),
                             gr.Radio(choices=["RoBERTa_Chinese_AnnualReport_tuned","RoBERTa_Chinese_FinancialNews_tuned","RoBERTa_English_AnnualReport_tuned",
-                                              "RoBERTa_English_FinancialNews_tuned"], label="Model Selection")],
-                    outputs=gr.Textbox(label="Sentiment",lines=5),
+                                              "RoBERTa_English_FinancialNews_tuned"],
+                                     label="Model Selection",
+                                     max_lines = 15
+                                    )],
+                    outputs=gr.Textbox(label="Sentiment",lines=5，show_copy_button=True, max_lines = 15),
                     # css = "label.svelte-1p9xokt{width:35%;}",
                     title = "Prompt Learning-Based Disclosure Sentiment Detection"
         )