Update app.py

app.py

@@ -4,8 +4,8 @@ import gradio as gr
 # Use a pipeline as a high-level helper
 from transformers import pipeline
 
-text_summary = pipeline("summarization", model="dicta-il/dictalm2.0", torch_dtype=torch.bfloat16)
-
+# text_summary = pipeline("summarization", model="dicta-il/dictalm2.0", torch_dtype=torch.bfloat16)
+text_summary = pipeline("summarization", model="csebuetnlp/mT5_multilingual_XLSum", torch_dtype=torch.bfloat16)
 
 
 
@@ -29,5 +29,5 @@ demo = gr.Interface(fn=summary,
                     inputs=[gr.Textbox(label="Input text to summarize",lines=6)],
                     outputs=[gr.Textbox(label="Summarized text",lines=4)],
                     title="Hebrew Text Summarizer",
-                    description="THIS APPLICATION WILL BE USED TO SUMMARIZE THE TEXT")
+                    description="This application will summarize Hebrew text.")
 demo.launch()