Update app.py

app.py

@@ -1,11 +1,8 @@
-# app.py
-
 import gradio as gr
 from modules.summarizer import summarize_text
 from modules.classifier import classify_text
 from modules.event_detector import detect_events
 
-# Define individual task functions
 def process_summarization(input_text):
     summary = summarize_text(input_text)
     return summary
@@ -19,27 +16,25 @@ def process_event_detection(input_text):
     events_formatted = ', '.join(events) if isinstance(events, list) else events
     return events_formatted
 
-# Create Gradio UI with Tabs
 with gr.Blocks() as demo:
     gr.Markdown(
         """
-        # 🧠 NLP Assistant
+        # NLP Assistant
         A simple app for:
-        - 📚 Summarization
-        - 🏷️ News Classification
-        - 🗂️ Event Detection
+        - Summarization
+        - News Classification
+        - Event Detection
         """
     )
 
     with gr.Tabs():
-        # Summarization Tab
-        with gr.Tab("📚 Summarization"):
+        with gr.Tab("Summarization"):
             gr.Markdown(
                 """
-                ## 📚 Summarization
+                ## Summarization
                 Enter your text below and get a summarized version.
 
-                ⚠️ **Note:**  
+                **Note:**  
                 - This task can take **~800–1000 seconds (~13–16 minutes)** for about **700–800 words**.  
                 - Longer articles will take **even more time**.  
                 - Please be patient!
@@ -59,11 +54,10 @@ with gr.Blocks() as demo:
                 outputs=[summary_output]
             )
 
-        # Classification Tab
-        with gr.Tab("🏷️ Classification"):
+        with gr.Tab("Classification"):
             gr.Markdown(
                 """
-                ## 🏷️ News/Text Classification
+                ## News/Text Classification
                 Enter your text below to detect its category.
                 """
             )
@@ -81,11 +75,10 @@ with gr.Blocks() as demo:
                 outputs=[classification_output]
             )
 
-        # Event Detection Tab
-        with gr.Tab("🗂️ Event Detection"):
+        with gr.Tab("Event Detection"):
             gr.Markdown(
                 """
-                ## 🗂️ Event Detection
+                ## Event Detection
                 Extract keywords and named entities from your text.
                 """
             )
@@ -103,6 +96,5 @@ with gr.Blocks() as demo:
                 outputs=[events_output]
             )
 
-# Launch Gradio app
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()