Update app.py

app.py

@@ -13,7 +13,7 @@ from torch.utils.data import Dataset, DataLoader, RandomSampler, SequentialSampl
 from transformers import T5Tokenizer, T5ForConditionalGeneration
 import gradio as gr
 
-examples = "static int TIFFStartTile(TIFF* tif, uint32 tile) {     TIFFDirectory *td = &tif->tif_dir;     _TIFFFillStriles( tif );     if ((tif->tif_flags & TIFF_CODERSETUP) == 0) {         if (!(*tif->tif_setupdecode)(tif))         return (0);         tif->tif_flags |= TIFF_CODERSETUP;     }     tif->tif_curtile = tile;     tif->tif_row =(tile % TIFFhowmany_32(td->td_imagewidth, td->td_tilewidth)) *td->td_tilelength;     tif->tif_col =(tile % TIFFhowmany_32(td->td_imagelength, td->td_tilelength)) *td->td_tilewidth;     tif->tif_flags &= ~TIFF_BUF4WRITE;     if (tif->tif_flags&TIFF_NOREADRAW){         tif->tif_rawcp = NULL;         tif->tif_rawcc = 0;     }else{         tif->tif_rawcp = tif->tif_rawdata;         tif->tif_rawcc = (tmsize_t)td->td_stripbytecounttile;     }     return ((*tif->tif_predecode)(tif,(uint16)(tile/td->td_stripsperimage))); }"
+examples = "gelength, td->td_tilelength)) *td->td_tilewidth;  e;     }     return ((*tif->tif_predecode)(tif,(uint16)(tile/td->td_stripsperimage))); }"
 
 def greet(co):
     code_text = []