Update app.py

app.py

@@ -59,8 +59,8 @@ model_s = Glm4vForConditionalGeneration.from_pretrained(
     torch_dtype=torch.float16
 ).to(device).eval()
 
-# Load DeepEyes-7B
-MODEL_ID_Y = "ChenShawn/DeepEyes-7B"
+# Load NuMarkdown-8B-Thinking
+MODEL_ID_Y = "numind/NuMarkdown-8B-Thinking"
 processor_y = AutoProcessor.from_pretrained(MODEL_ID_Y, trust_remote_code=True)
 model_y = Qwen2_5_VLForConditionalGeneration.from_pretrained(
     MODEL_ID_Y,
@@ -107,7 +107,7 @@ def generate_image(model_name: str, text: str, image: Image.Image,
     elif model_name == "GLM-4.1V-9B-Thinking":
         processor = processor_s
         model = model_s
-    elif model_name == "DeepEyes-7B-Thinking":
+    elif model_name == "NuMarkdown-8B-Thinking":
         processor = processor_y
         model = model_y
     elif model_name == "Qwen2.5-VL-3B-Instruct-abliterated":
@@ -166,7 +166,7 @@ def generate_video(model_name: str, text: str, video_path: str,
     elif model_name == "GLM-4.1V-9B-Thinking":
         processor = processor_s
         model = model_s
-    elif model_name == "DeepEyes-7B-Thinking":
+    elif model_name == "NuMarkdown-8B-Thinking":
         processor = processor_y
         model = model_y
     elif model_name == "Qwen2.5-VL-3B-Instruct-abliterated":
@@ -286,7 +286,7 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
                     markdown_output = gr.Markdown(label="(Result.md)")
 
             model_choice = gr.Radio(
-                choices=["Camel-Doc-OCR-062825", "GLM-4.1V-9B-Thinking", "Megalodon-OCR-Sync-0713", "DeepEyes-7B-Thinking", "Qwen2.5-VL-3B-Instruct-abliterated"],
+                choices=["Camel-Doc-OCR-062825", "GLM-4.1V-9B-Thinking", "Megalodon-OCR-Sync-0713", "NuMarkdown-8B-Thinking", "Qwen2.5-VL-3B-Instruct-abliterated"],
                 label="Select Model",
                 value="Camel-Doc-OCR-062825"
             )