Update app.py

app.py

@@ -110,14 +110,14 @@ with gr.Blocks() as demo:
             selected_paragraph_1 = gr.Textbox(label="Selected Paragraph 1 Content", lines=4)
             selected_paragraph_1.change(show, paragraph_1_dropdown, selected_paragraph_1)
             summarize_btn1 = gr.Button("Summarize Text from PDF 1")
-            summarize_btn1.click(fn=lambda p: process_paragraph_1(p)[1], inputs=paragraph_1_dropdown, outputs=summary_textbox_1)
             summary_textbox_1 = gr.Textbox(label="Summary for PDF 1", lines=2)
+            summarize_btn1.click(fn=lambda p: process_paragraph_1(p)[1], inputs=paragraph_1_dropdown, outputs=summary_textbox_1)
             sentiment_btn1 = gr.Button("Classify Financial Tone from PDF 1")
-            sentiment_btn1.click(fn=lambda p: process_paragraph_1(p)[2], inputs=paragraph_1_dropdown, outputs=sentiment_textbox_1)
             sentiment_textbox_1 = gr.Textbox(label="Classification for PDF 1", lines=1)
+            sentiment_btn1.click(fn=lambda p: process_paragraph_1(p)[2], inputs=paragraph_1_dropdown, outputs=sentiment_textbox_1)
             analyze_btn1 = gr.Button("Analyze Financial Tone on each sentence")
-            analyze_btn1.click(fn=lambda p: process_paragraph_1(p)[3], inputs=paragraph_1_dropdown, outputs=fin_spans_1)
             fin_spans_1 = gr.HighlightedText(label="Financial Tone Analysis for PDF 1")
+            analyze_btn1.click(fn=lambda p: process_paragraph_1(p)[3], inputs=paragraph_1_dropdown, outputs=fin_spans_1)
 
         # Process the selected paragraph from PDF 2
         with gr.Column():
@@ -135,13 +135,13 @@ with gr.Blocks() as demo:
             selected_paragraph_2 = gr.Textbox(label="Selected Paragraph 2 Content", lines=4)
             selected_paragraph_2.change(show, paragraph_2_dropdown, selected_paragraph_2)
             summarize_btn2 = gr.Button("Summarize Text from PDF 2")
-            summarize_btn2.click(fn=lambda p: process_paragraph_2(p)[1], inputs=paragraph_2_dropdown, outputs=summary_textbox_2)
             summary_textbox_2 = gr.Textbox(label="Summary for PDF 2", lines=2)
+            summarize_btn2.click(fn=lambda p: process_paragraph_2(p)[1], inputs=paragraph_2_dropdown, outputs=summary_textbox_2)
             sentiment_btn2 = gr.Button("Classify Financial Tone from PDF 2")
-            sentiment_btn2.click(fn=lambda p: process_paragraph_2(p)[2], inputs=paragraph_2_dropdown, outputs=sentiment_textbox_2)
             sentiment_textbox_2 = gr.Textbox(label="Classification for PDF 2", lines=1)
+            sentiment_btn2.click(fn=lambda p: process_paragraph_2(p)[2], inputs=paragraph_2_dropdown, outputs=sentiment_textbox_2)
             analyze_btn2 = gr.Button("Analyze Financial Tone on each sentence")
-            analyze_btn2.click(fn=lambda p: process_paragraph_2(p)[3], inputs=paragraph_2_dropdown, outputs=fin_spans_2)
             fin_spans_2 = gr.HighlightedText(label="Financial Tone Analysis for PDF 2")
+            analyze_btn2.click(fn=lambda p: process_paragraph_2(p)[3], inputs=paragraph_2_dropdown, outputs=fin_spans_2)
 
 demo.launch()