Update app.py

app.py

@@ -3,11 +3,11 @@ from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassifica
 import torch
 
 # Define the summarization pipeline
-summarizer_ntg = pipeline("summarization", model="mrm8488/t5-base-finetuned-summarize-news")
+summarizer_ntg = pipeline("text2text-generation", model="mrm8488/t5-base-finetuned-summarize-news")
 
 # Load the tokenizer and model for classification
-tokenizer_bb = AutoTokenizer.from_pretrained("your-username/your-model-name")
-model_bb = AutoModelForSequenceClassification.from_pretrained("your-username/your-model-name")
+tokenizer_bb = AutoTokenizer.from_pretrained("Lauraayu/News_Classi_Model")
+model_bb = AutoModelForSequenceClassification.from_pretrained("Lauraayu/News_Classi_Model")
 
 # Streamlit application title
 st.title("News Article Summarizer and Classifier")