Update app.py

app.py

@@ -371,65 +371,68 @@ with gr.Blocks() as demo:
         with gr.Row():
         # PDF 1 Analysis section with custom background
             with gr.Column():
-                with gr.Box():
-                    gr.Markdown("<div class='pdf1-analysis'><h3>PDF 1 Analysis</h3></div>")
-                    selected_paragraph_1 = gr.Textbox(label="Selected Paragraph 1 Content", lines=4)
-                    summarize_btn1 = gr.Button("Summarize Text from PDF 1")
-                    summary_textbox_1 = gr.Textbox(label="Summary for PDF 1", lines=2)
-    
-                    # Summarize the selected paragraph from PDF 1
-                    summarize_btn1.click(fn=lambda p: process_paragraph_1_sum(p), inputs=paragraph_1_dropdown, outputs=summary_textbox_1)
-    
-                    sentiment_btn1 = gr.Button("Classify Financial Tone from PDF 1")
-                    sentiment_textbox_1 = gr.Textbox(label="Classification for PDF 1", lines=1)
-    
-                    # 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_)
-    
-            # PDF 2 Analysis section with custom background
+                gr.Markdown("<div class='pdf1-analysis'><h3>PDF 1 Analysis</h3></div>")
+                gr.Markdown("### PDF 1 Analysis")
+                
+                selected_paragraph_1 = gr.Textbox(label="Selected Paragraph 1 Content", lines=4)
+        
+                summarize_btn1 = gr.Button("Summarize Text from PDF 1")
+                summary_textbox_1 = gr.Textbox(label="Summary for PDF 1", lines=2)
+        
+                # Summarize the selected paragraph from PDF 1
+                summarize_btn1.click(fn=lambda p: process_paragraph_1_sum(p), inputs=paragraph_1_dropdown, outputs=summary_textbox_1)
+        
+                sentiment_btn1 = gr.Button("Classify Financial Tone from PDF 1")
+                sentiment_textbox_1 = gr.Textbox(label="Classification for PDF 1", lines=1)
+        
+                # 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_)
+        
+            # Process the selected paragraph from PDF 2
             with gr.Column():
-                with gr.Box():
-                    gr.Markdown("<div class='pdf2-analysis'><h3>PDF 2 Analysis</h3></div>")
-                    selected_paragraph_2 = gr.Textbox(label="Selected Paragraph 2 Content", lines=4)
-    
-                    # Display selected paragraph from PDF 2
-                    selected_paragraph_2.change(fn=show, inputs=paragraph_2_dropdown, outputs=selected_paragraph_2)
-    
-                    summarize_btn2 = gr.Button("Summarize Text from PDF 2")
-                    summary_textbox_2 = gr.Textbox(label="Summary for PDF 2", lines=2)
-    
-                    # Summarize the selected paragraph from PDF 2
-                    summarize_btn2.click(fn=lambda p: process_paragraph_2_sum(p), inputs=paragraph_2_dropdown, outputs=summary_textbox_2)
-    
-                    sentiment_btn2 = gr.Button("Classify Financial Tone from PDF 2")
-                    sentiment_textbox_2 = gr.Textbox(label="Classification for PDF 2", lines=1)
-    
-                    # 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_)
+                gr.Markdown("<div class='pdf2-analysis'><h3>PDF 2 Analysis</h3></div>")
+                gr.Markdown("### PDF 2 Analysis")
+        
+                selected_paragraph_2 = gr.Textbox(label="Selected Paragraph 2 Content", lines=4)
+        
+                # Display selected paragraph from PDF 2
+                selected_paragraph_2.change(fn=show, inputs=paragraph_2_dropdown, outputs=selected_paragraph_2)
+        
+                summarize_btn2 = gr.Button("Summarize Text from PDF 2")
+                summary_textbox_2 = gr.Textbox(label="Summary for PDF 2", lines=2)
+        
+                # Summarize the selected paragraph from PDF 2
+                summarize_btn2.click(fn=lambda p: process_paragraph_2_sum(p), inputs=paragraph_2_dropdown, outputs=summary_textbox_2)
+        
+                sentiment_btn2 = gr.Button("Classify Financial Tone from PDF 2")
+                sentiment_textbox_2 = gr.Textbox(label="Classification for PDF 2", lines=1)
+        
+                # 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.Tab("Financial Report Table Analysis"):