Update app.py

app.py

@@ -20,7 +20,7 @@ model = AutoModelForObjectDetection.from_pretrained("microsoft/table-transformer
 
 # load table structure recognition model
 structure_processor = TableTransformerImageProcessor(max_size=1000)
-structure_model = AutoModelForObjectDetection.from_pretrained("microsoft/table-structure-recognition-v1.1-all")
+structure_model = AutoModelForObjectDetection.from_pretrained("microsoft/table-transformer-structure-recognition-v1.1-all")
 
 # load EasyOCR reader
 reader = easyocr.Reader(['en'])
@@ -247,8 +247,9 @@ def process_pdf(image):
     return image, df, data
     
 
-title = "Demo: table detection & recognition with Table Transformer"
-description = "Demo for table extraction with the Table Transformer (TATR)."
+title = "Demo: table detection & recognition with Table Transformer (TATR)."
+description = """Demo for table extraction with the Table Transformer. First, table detection is performed on the input image using https://huggingface.co/microsoft/table-transformer-detection,
+after which the detected table is extracted and https://huggingface.co/microsoft/table-transformer-structure-recognition-v1.1-all is leveraged to recognize the individual rows, columns and cells. OCR is then performed per cell, row by row."""
 examples = [['image.png', 'clip_paper.png']]
 
 app = gr.Interface(fn=process_pdf,