Update app.py

app.py

@@ -59,10 +59,10 @@ model_g = Qwen2_5_VLForConditionalGeneration.from_pretrained(
     torch_dtype=torch.float16
 ).to(device).eval()
 
-# Load NuExtract-2.0-2B
-MODEL_ID_L = "numind/NuExtract-2.0-2B"
+# Load typhoon-ocr-7b
+MODEL_ID_L = "scb10x/typhoon-ocr-7b"
 processor_l = AutoProcessor.from_pretrained(MODEL_ID_L, trust_remote_code=True)
-model_l = Qwen2VLForConditionalGeneration.from_pretrained(
+model_l = Qwen2_5_VLForConditionalGeneration.from_pretrained(
     MODEL_ID_L,
     trust_remote_code=True,
     torch_dtype=torch.float16
@@ -143,7 +143,7 @@ def generate_image(model_name: str, text: str, image: Image.Image,
     elif model_name == "SmolDocling-256M-preview":
         processor = processor_x
         model = model_x
-    elif model_name == "NuExtract-2.0-2B":
+    elif model_name == "typhoon-ocr-7b":
         processor = processor_l
         model = model_l
     else:
@@ -230,7 +230,7 @@ def generate_video(model_name: str, text: str, video_path: str,
     elif model_name == "SmolDocling-256M-preview":
         processor = processor_x
         model = model_x
-    elif model_name == "NuExtract-2.0-2B":
+    elif model_name == "typhoon-ocr-7b":
         processor = processor_l
         model = model_l
     else:
@@ -353,7 +353,7 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
         with gr.Column():
             output = gr.Textbox(label="Output", interactive=False, lines=3, scale=2)
             model_choice = gr.Radio(
-                choices=["Nanonets-OCR-s", "SmolDocling-256M-preview", "MonkeyOCR-Recognition", "NuExtract-2.0-2B"],
+                choices=["Nanonets-OCR-s", "SmolDocling-256M-preview", , "typhoon-ocr-7b", "MonkeyOCR-Recognition"],
                 label="Select Model",
                 value="Nanonets-OCR-s"
             )