Update app.py

app.py

@@ -5,11 +5,10 @@ from transformers import pipeline
 
 # Create a summarization pipeline
 # summarizer = pipeline("summarization")
-#text_summery = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16)
-#text_summery = pipeline("summarization", model="sshleifer/distilbart-cnn-6-6", torch_dtype=torch.bfloat16)
-#text_summery = pipeline("summarization", model="facebook/bart-large-cnn", torch_dtype="auto")
-#text_summery = pipeline("summarization", model="google/pegasus-xsum", torch_dtype=torch.bfloat16)
-text_summery = pipeline("summarization", model="prithivMLmods/t5-Flan-Prompt-Enhance")
+#text_summery = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
+text_summery = pipeline("summarization", model="sshleifer/distilbart-cnn-6-6")
+#text_summery = pipeline("summarization", model="facebook/bart-large-cnn")
+#text_summery = pipeline("summarization", model="google/pegasus-xsum")
 
 # Define a function that takes a text and returns a summary
 def summarize(text):