Update app.py

app.py

@@ -470,17 +470,18 @@ with gr.Blocks(theme='gradio/soft',js=js_func) as demo:
                     # Classify the financial tone of the selected paragraph from PDF 1
                     sentiment_btn1.click(fn=lambda p: process_paragraph_1_sent(p), inputs=paragraph_1_dropdown, outputs=sentiment_textbox_1)
             
-                    analyze_btn1 = gr.Button("Analyze Financial Tone on each sentence with FinBERT-tone")
-                    fin_spans_1 = gr.HighlightedText(label="Financial Tone Analysis for PDF 1")
-            
-                    # Analyze financial tone on each sentence using FinBERT-tone
-                    analyze_btn1.click(fn=lambda p: process_paragraph_1_sent_tone(p), inputs=paragraph_1_dropdown, outputs=fin_spans_1)
-            
-                    analyze_btn1_ = gr.Button("Analyze Financial Tone on each sentence with ProsusAI/finbert")
-                    fin_spans_1_ = gr.HighlightedText(label="Financial Tone Analysis for PDF 1 (Bis)")
-            
-                    # Analyze financial tone using ProsusAI/finbert
-                    analyze_btn1_.click(fn=lambda p: process_paragraph_1_sent_tone_bis(p), inputs=paragraph_1_dropdown, outputs=fin_spans_1_)
+                    with gr.Accordion("Analyze Financial Tone on each sentence"):
+                        analyze_btn1 = gr.Button("With FinBERT-tone")
+                        fin_spans_1 = gr.HighlightedText(label="Financial Tone Analysis for PDF 1")
+                        
+                        # Analyze financial tone on each sentence using FinBERT-tone
+                        analyze_btn1.click(fn=lambda p: process_paragraph_1_sent_tone(p), inputs=paragraph_1_dropdown, outputs=fin_spans_1)
+                
+                        analyze_btn1_ = gr.Button("With ProsusAI/finbert")
+                        fin_spans_1_ = gr.HighlightedText(label="Financial Tone Analysis for PDF 1 (Bis)")
+                
+                        # Analyze financial tone using ProsusAI/finbert
+                        analyze_btn1_.click(fn=lambda p: process_paragraph_1_sent_tone_bis(p), inputs=paragraph_1_dropdown, outputs=fin_spans_1_)
         
             # Process the selected paragraph from PDF 2
             with gr.Column():
@@ -503,18 +504,18 @@ with gr.Blocks(theme='gradio/soft',js=js_func) as demo:
             
                     # Classify the financial tone of the selected paragraph from PDF 2
                     sentiment_btn2.click(fn=lambda p: process_paragraph_2_sent(p), inputs=paragraph_2_dropdown, outputs=sentiment_textbox_2)
-            
-                    analyze_btn2 = gr.Button("Analyze Financial Tone on each sentence with FinBERT-tone")
-                    fin_spans_2 = gr.HighlightedText(label="Financial Tone Analysis for PDF 2")
-            
-                    # Analyze financial tone on each sentence using FinBERT-tone for PDF 2
-                    analyze_btn2.click(fn=lambda p: process_paragraph_2_sent_tone(p), inputs=paragraph_2_dropdown, outputs=fin_spans_2)
-            
-                    analyze_btn2_ = gr.Button("Analyze Financial Tone on each sentence with ProsusAI/finbert")
-                    fin_spans_2_ = gr.HighlightedText(label="Financial Tone Analysis for PDF 2 (Bis)")
-            
-                    # Analyze financial tone using ProsusAI/finbert for PDF 2
-                    analyze_btn2_.click(fn=lambda p: process_paragraph_2_sent_tone_bis(p), inputs=paragraph_2_dropdown, outputs=fin_spans_2_)
+                    with gr.Accordion("Analyze Financial Tone on each sentence"):
+                        analyze_btn2 = gr.Button("With FinBERT-tone")
+                        fin_spans_2 = gr.HighlightedText(label="Financial Tone Analysis for PDF 2")
+                
+                        # Analyze financial tone on each sentence using FinBERT-tone for PDF 2
+                        analyze_btn2.click(fn=lambda p: process_paragraph_2_sent_tone(p), inputs=paragraph_2_dropdown, outputs=fin_spans_2)
+                
+                        analyze_btn2_ = gr.Button("With ProsusAI/finbert")
+                        fin_spans_2_ = gr.HighlightedText(label="Financial Tone Analysis for PDF 2 (Bis)")
+                
+                        # Analyze financial tone using ProsusAI/finbert for PDF 2
+                        analyze_btn2_.click(fn=lambda p: process_paragraph_2_sent_tone_bis(p), inputs=paragraph_2_dropdown, outputs=fin_spans_2_)
 
 
     with gr.Tab("Financial Report Table Analysis"):