Update app.py

app.py

@@ -168,7 +168,7 @@ def table_detector(image, THRESHOLD_PROBA):
     feature_extractor = DetrFeatureExtractor(do_resize=True, size=800, max_size=800)
     encoding = feature_extractor(image, return_tensors="pt")
 
-    model = TableTransformerForObjectDetection.from_pretrained("microsoft/table-transformer-detection")
+    model = TableTransformerForObjectDetection.from_pretrained("debu-das/table_detection")
 
     with torch.no_grad():
         outputs = model(**encoding)