Update app.py

app.py

@@ -92,18 +92,15 @@ model_i = Qwen2_5_VLForConditionalGeneration.from_pretrained(
 
 #-----------------------------------------#
 
-# Load NuExtract-2.0-4B
-MODEL_ID_J = "numind/NuExtract-2.0-4B"
+# Load prithivMLmods/DREX-062225-exp
+MODEL_ID_J = "prithivMLmods/DREX-062225-exp"
 processor_j = AutoProcessor.from_pretrained(
     MODEL_ID_J,
-    trust_remote_code=True,
-    padding_side='left',
-    use_fast=True
+    trust_remote_code=True
 )
 model_j = AutoModelForVision2Seq.from_pretrained(
     MODEL_ID_J,
     trust_remote_code=True,
-    attn_implementation="flash_attention_2",
     torch_dtype=torch.float16
 ).to(device).eval()
 #-----------------------------------------#
@@ -158,7 +155,7 @@ def process_document_stream(model_name: str, task_choice: str, image: Image.Imag
     elif model_name == "Nanonets-OCR-s": processor, model = processor_c, model_c
     elif model_name == "MonkeyOCR-Recognition": processor, model = processor_g, model_g
     elif model_name == "olmOCR-7B-0725": processor, model = processor_i, model_i
-    elif model_name == "NuExtract-2.0-4B": processor, model = processor_j, model_j
+    elif model_name == "Drex-062225-OCR": processor, model = processor_j, model_j
     else:
         yield "Invalid model selected.", "Invalid model selected.", None
         return
@@ -228,7 +225,8 @@ def create_gradio_interface():
                              "olmOCR-7B-0725",
                              "Nanonets-OCR-s", 
                              "NuExtract-2.0-4B",
-                             "Megalodon-OCR-Sync-0713"
+                             "Megalodon-OCR-Sync-0713",
+                             "Drex-062225-OCR"
                             ],
                     label="Select Model", value="Nanonets-OCR-s"
                 )