Update main.py

main.py

@@ -38,8 +38,7 @@ nlp_qa_v3 = pipeline("question-answering", model="deepset/roberta-base-squad2")
 nlp_classification = pipeline("text-classification", model="distilbert/distilbert-base-uncased-finetuned-sst-2-english")
 nlp_classification_v2 = pipeline("text-classification", model="cardiffnlp/twitter-roberta-base-sentiment-latest")
 nlp_speech_to_text = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-base-960h")
-nlp_sequence_classification = pipeline("zero-shot-classification", model="valhalla/distilbart-mnli-12-1")
-
+nlp_sequence_classification = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
 description = """
 ## Image-based Document QA
 This API performs document question answering using a LayoutLMv2-based model.