Update app.py

app.py

@@ -43,7 +43,7 @@ model_x = Qwen2_5_VLForConditionalGeneration.from_pretrained(
     torch_dtype=torch.float16).to(device).eval()
 
 # Load prithivMLmods/WR30a-Deep-7B-0711
-MODEL_ID_T = "NCSOFT/VARCO-VISION-2.0-14B"
+MODEL_ID_T = "NCSOFT/VARCO-VISION-2.0-1.7B-OCR"
 processor_t = AutoProcessor.from_pretrained(MODEL_ID_T, trust_remote_code=True)
 model_t = LlavaOnevisionForConditionalGeneration.from_pretrained(
     MODEL_ID_T, trust_remote_code=True,
@@ -100,7 +100,7 @@ def generate_image(model_name: str,
     elif model_name == "Visionary-R1-3B":
         processor = processor_o
         model = model_o
-    elif model_name == "Varco-Vision-2.0-14B":
+    elif model_name == "VARCO-VISION-2.0-1.7B-OCR":
         processor = processor_t
         model = model_t
     else:
@@ -164,7 +164,7 @@ def generate_video(model_name: str,
     elif model_name == "Visionary-R1-3B":
         processor = processor_o
         model = model_o
-    elif model_name == "Varco-Vision-2.0-14B":
+    elif model_name == "VARCO-VISION-2.0-1.7B-OCR":
         processor = processor_t
         model = model_t
     else:
@@ -315,7 +315,7 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
                 #download_btn = gr.Button("Download Result.md")
 
             model_choice = gr.Radio(choices=[
-                 "Camel-Doc-OCR-080125(v2)", "Varco-Vision-2.0-14B",
+                 "Camel-Doc-OCR-080125(v2)", "VARCO-VISION-2.0-1.7B-OCR",
                  "ViGaL-7B", "Visionary-R1-3B"
             ],
                                     label="Select Model",
@@ -344,6 +344,6 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
                            repetition_penalty
                        ],
                        outputs=[output, markdown_output])
-
+        
 if __name__ == "__main__":
     demo.queue(max_size=30).launch(share=True, mcp_server=True, ssr_mode=False, show_error=True)