Update space and updated models for high accuracy

main.py

@@ -13,9 +13,12 @@ import time
 app = FastAPI()
 
 # Load classification and summarization models
-classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
-summarizer_tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-small")
-summarizer_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-small")
+classifier = pipeline("zero-shot-classification", model="joeddav/xlm-roberta-large-xnli")
+summarizer_tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-base")
+summarizer_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base")
+# classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
+# summarizer_tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-small")
+# summarizer_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-small")
 
 # Load Indic NER (or any general one)
 tokenizer = AutoTokenizer.from_pretrained("dslim/bert-base-NER")