Update app.py

app.py

@@ -67,12 +67,9 @@ def fetch_and_display_content(url):
     metadata, cleaned_text = extract_and_clean_text(text)
     detected_lang = detect_language(cleaned_text)
 	
-	# Generate Summary Automatically
-    summary_text = hierarchical_summarization(cleaned_text)
-
     # Add detected language to metadata
     metadata["Detected Language"] = detected_lang.upper()
-    return cleaned_text, metadata, detected_lang,summary_text, gr.update(visible=True), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
+    return cleaned_text, metadata, detected_lang, gr.update(visible=True), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
 
 ### 2️⃣ Cleaning Function
 def extract_and_clean_text(data):
@@ -313,7 +310,7 @@ with gr.Blocks() as demo:
     with gr.Row():
         extracted_text = gr.Textbox(label="Extracted Content", visible=False, interactive=False, lines=15)
         metadata_output = gr.JSON(label="Article Metadata", visible=False)  # Displays metadata
-        wordcloud_output = gr.Image(label="Word Cloud", visible=True)
+        wordcloud_output = gr.Image(label="Word Cloud", visible=False)
 
     
     detected_lang = gr.Textbox(label="Detected Language", visible=False)
@@ -322,7 +319,7 @@ with gr.Blocks() as demo:
     ner_output = gr.Textbox(label="Extracted Entities", visible=True, interactive=False)  
     
 	
-	#Add textboxes for default and custom entity types
+	
     default_entity_types = gr.Textbox(label="Default Entity Types", value="PERSON, Organization, location, Date, PRODUCT, EVENT", interactive=True)
     custom_entity_types = gr.Textbox(label="Custom Entity Types", placeholder="Enter additional entity types (comma-separated)", interactive=True)
 
@@ -331,7 +328,7 @@ with gr.Blocks() as demo:
         fetch_and_display_content, 
         inputs=[url_input], 
         
-        outputs=[extracted_text, metadata_output, detected_lang, summary_output, process_audio_button,process_ner_button, extracted_text, metadata_output]
+        outputs=[extracted_text, metadata_output, detected_lang, wordcloud_output, process_audio_button,process_ner_button, extracted_text, metadata_output]
     )
 	
 	# Automatically generate word cloud when extracted_text changes
@@ -341,6 +338,13 @@ with gr.Blocks() as demo:
         outputs=[wordcloud_output],
         show_progress=True
     )
+	
+    extracted_text.change(
+        hierarchical_summarization,
+        inputs=[extracted_text],
+        outputs=[summary_output],
+        show_progress=True
+    )
     
     #process_summary_button.click(hierarchical_summarization, inputs=[extracted_text], outputs=[summary_output])