Update app.py

app.py

@@ -89,13 +89,13 @@ 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),
+                    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",
                                               "RoBERTa_English_FinancialNews_tuned"],
                                      label="Model Selection",
                                      max_lines = 15
                                     )],
-                    outputs=gr.Textbox(label="Sentiment",lines=5，show_copy_button=True, max_lines = 15),
+                    outputs=gr.TextArea(label="Sentiment",lines=5, show_copy_button=True, max_lines = 15),
                     # css = "label.svelte-1p9xokt{width:35%;}",
                     title = "Prompt Learning-Based Disclosure Sentiment Detection"
         )