Update app.py

app.py

@@ -89,14 +89,15 @@ def sentiment_analysis(sentence, model_name):
 
 
 demo = gr.Interface(fn=sentiment_analysis,
-                    inputs = [gr.TextArea(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",
+                    inputs = [gr.TextArea(placeholder="Enter sentence here. If you have multiple sentences, separate them with '\\n'.",
+                                          label="Sentence",lines=5,
+                                          max_lines = 10),
+                            gr.Radio(choices=["RoBERTa_Chinese_AnnualReport_tuned",
+                                              "RoBERTa_Chinese_FinancialNews_tuned",
+                                              "RoBERTa_English_AnnualReport_tuned",
                                               "RoBERTa_English_FinancialNews_tuned"],
-                                     label="Model Selection",
-                                     max_lines = 10
-                                    )],
+                                     label="Model Selection")],
                     outputs=gr.TextArea(label="Sentiment",lines=5, show_copy_button=True, max_lines = 10),
-                    # css = "label.svelte-1p9xokt{width:35%;}",
                     title = "Prompt Learning-Based Disclosure Sentiment Detection"
         )