Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from transformers import pipeline
 
 # Initialize the summarization pipeline
-summarizer = pipeline("summarization", model="google/mt5-base") # Changed the model here
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")  # You can choose other models
 
 def summarize_text(text):
     """Summarizes the given text using the pre-trained model."""
@@ -19,7 +19,7 @@ iface = gr.Interface(
     outputs=gr.Textbox(lines=5, label="Summary"),
     title="Nepali Text Summarizer",
     description="Enter Nepali text and get a concise summary using a pre-trained NLP model.",
-    flagging_mode="never"
+    flagging_mode="never" # Changed this line
 )
 
 if __name__ == "__main__":