Update app.py

app.py

@@ -167,9 +167,13 @@ def extract_entities_with_stanza(text, chunk_size=1000):
     for chunk in chunks:
         doc = nlp(chunk)
         for ent in doc.ents:
-            entities.append({"text": ent.text, "type": ent.type})
+            entities.append(f"📌 **Entity**: \"{ent.text}\"  |  **Type**: {ent.type}")  
 
-    return entities
+    #return entities
+	if not entities:
+        return "No entities found."
+
+    return "\n\n".join(entities)  # ✅ Display as Markdown-formatted text
 
 ### 4️⃣ TTS Functionality (KokoroTTS)
 @spaces.GPU(duration=1000)  
@@ -276,7 +280,7 @@ with gr.Blocks() as demo:
         fetch_and_display_content, 
         inputs=[url_input], 
         
-        outputs=[extracted_text, metadata_output, detected_lang, process_summary_button, process_audio_button, extracted_text, metadata_output]
+        outputs=[extracted_text, metadata_output, detected_lang, process_summary_button, process_audio_button, summary_output, ner_output]
     )
     
     process_summary_button.click(hierarchical_summarization, inputs=[extracted_text], outputs=[summary_output])
@@ -297,6 +301,5 @@ with gr.Blocks() as demo:
         outputs=[ner_output]
     )
 
-    #process_button.click(process_url, inputs=[url_input], outputs=[extracted_text, detected_language, full_audio_output])
-
+    
 demo.launch()