Update app.py

app.py

@@ -2,12 +2,12 @@ from transformers import ViTFeatureExtractor, BertTokenizer, VisionEncoderDecode
 import gradio as gr
 
 title="Multilingual OCR (currently recognises: English and Chinese)"
-description="mOCR(multilingual-OCR) is a Vision-Encoder-Decoder model which uses pre-trained facebook's vit-mae-large as the encoder and xlm-roberta-base as the decoder. \nIt has been trained on IAM, SROIE 2019, text_renderer Chinese (synthetic) and TRDG (synthetic) datasets (amounting to approx 1.4 Million samples) for English and Chinese document text-recognition."
+description="m_OCR(multilingual OCR) is a Vision-Encoder-Decoder model which uses pre-trained facebook's vit-mae-large as the encoder and xlm-roberta-base as the decoder. \nIt has been trained on IAM, SROIE 2019, text_renderer Chinese (synthetic) and TRDG (synthetic) datasets (amounting to approx 1.4 Million samples) for English and Chinese document text-recognition."
 examples =[["demo_image/img1.png"], ["demo_image/img2.jpeg"], ["demo_image/img3.jpeg"], ["demo_image/img4.jpeg"], ["demo_image/img5.jpeg"], ["demo_image/img6.jpeg"]]
 
 
 
-model=VisionEncoderDecoderModel.from_pretrained("priyank-m/mOCR")
+model=VisionEncoderDecoderModel.from_pretrained("priyank-m/m_OCR")
 tokenizer =  AutoTokenizer.from_pretrained("xlm-roberta-base")
 feature_extractor = AutoFeatureExtractor.from_pretrained("facebook/vit-mae-large")