Update app.py

app.py

@@ -64,6 +64,9 @@ PDF_FOLDER = "data"
 def get_pdf_files(folder):
     return [f for f in os.listdir(folder) if f.endswith('.pdf')]
 
+def show(name):
+    return f"{name}"
+    
 stored_paragraphs_1 = []
 stored_paragraphs_2 = []
 
@@ -94,13 +97,6 @@ with gr.Blocks() as demo:
         # Process the selected paragraph from PDF 1
         with gr.Column():
             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")
-            sentiment_btn1 = gr.Button("Classify Financial Tone from PDF 1")
-            summary_textbox_1 = gr.Textbox(label="Summary for PDF 1", lines=4)
-            sentiment_textbox_1 = gr.Textbox(label="Classification for PDF 1", lines=4)
-            fin_spans_1 = gr.HighlightedText(label="Financial Tone Analysis for PDF 1")
-
             def process_paragraph_1(paragraph):
                 try:
                     paragraph_index = int(paragraph.split(':')[0].replace('Paragraph ', '')) - 1
@@ -111,22 +107,21 @@ with gr.Blocks() as demo:
                     return selected_paragraph, summary, sentiment, fin_spans
                 except (IndexError, ValueError):
                     return "Invalid selection", "Error", "Error", []
-
+            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)
+            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)
-            analyze_btn1 = gr.Button("Analyze Financial Tone and FLS")
+            sentiment_textbox_1 = gr.Textbox(label="Classification for PDF 1", lines=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")
 
         # Process the selected paragraph from PDF 2
         with gr.Column():
             gr.Markdown("### PDF 2 Analysis")
-            selected_paragraph_2 = gr.Textbox(label="Selected Paragraph 2 Content", lines=4)
-            summarize_btn2 = gr.Button("Summarize Text from PDF 2")
-            sentiment_btn2 = gr.Button("Classify Financial Tone from PDF 2")
-            summary_textbox_2 = gr.Textbox(label="Summary for PDF 2", lines=4)
-            sentiment_textbox_2 = gr.Textbox(label="Classification for PDF 2", lines=4)
-            fin_spans_2 = gr.HighlightedText(label="Financial Tone Analysis for PDF 2")
-
             def process_paragraph_2(paragraph):
                 try:
                     paragraph_index = int(paragraph.split(':')[0].replace('Paragraph ', '')) - 1
@@ -137,10 +132,16 @@ with gr.Blocks() as demo:
                     return selected_paragraph, summary, sentiment, fin_spans
                 except (IndexError, ValueError):
                     return "Invalid selection", "Error", "Error", []
-
+            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)
+            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)
-            analyze_btn2 = gr.Button("Analyze Financial Tone and FLS")
+            sentiment_textbox_2 = gr.Textbox(label="Classification for PDF 2", lines=1)
+            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")
 
 demo.launch()