Update README.md

README.md

@@ -25,11 +25,18 @@ Previously, inference with the model [https://huggingface.co/deepseek-ai/DeepSee
 This page, which includes the model weights and corrected configuration, fixed the issue and allowed `transformers` inference to run smoothly.
 
 > [!note]
-Last updated: 3:00 PM (IST), October 29, 2025.
+Last updated: 3:00 PM (IST), DEC 04, 2025.
 
-> [!note]
-The latest transformers version used as of the above date is `transformers==4.57.1`, the torch version `2.6.0+cu124`, torch.version.cuda = `12.4` and and tested on the device `NVIDIA H200 MIG 3g.71gb`. You can use or opt out of various attention implementations, such as flash_attention or sdpa, for optimization or standardization = We can also opt out the attention implementation if needed.
+```
+transformers: 4.57.1
+torch: 2.6.0+cu124 (or) the latest version (i.e., torch 2.9.0)
+cuda: 12.4
+device: NVIDIA H200 MIG 3g.71gb
+```
 
+```
+Currently supported up to `transformers==4.57.2`. Support for Transformers v5 will be added soon.
+```
 ## Quick Start with Transformers
 
 > [!note]
@@ -262,7 +269,7 @@ def process_ocr_task(image, model_size, task_type, ref_text):
 
         return text_result, result_image_pil
 
-with gr.Blocks(css=css, theme=steel_blue_theme) as demo:
+with gr.Blocks() as demo:
     gr.Markdown("# **DeepSeek OCR [exp]**", elem_id="main-title")
 
     
@@ -279,7 +286,7 @@ with gr.Blocks(css=css, theme=steel_blue_theme) as demo:
             output_image = gr.Image(label="Layout Detection (If Any)", type="pil")
             
             with gr.Accordion("Note", open=False):
-                gr.Markdown("Inference using Huggingface transformers on NVIDIA GPUs. This app is running with transformers version 4.57.1 and torch version 2.6.0.")
+                gr.Markdown("Inference using Huggingface transformers on NVIDIA GPUs. This app is running with transformers version 4.57.2 and torch version 2.9.0.")
                 
     def toggle_ref_text_visibility(task):
         return gr.Textbox(visible=True) if task == "Locate Object by Reference" else gr.Textbox(visible=False)
@@ -288,7 +295,7 @@ with gr.Blocks(css=css, theme=steel_blue_theme) as demo:
     submit_btn.click(fn=process_ocr_task, inputs=[image_input, model_size, task_type, ref_text_input], outputs=[output_text, output_image])
 
 if __name__ == "__main__":
-    demo.queue(max_size=20).launch(share=True)
+    demo.queue(max_size=20).launch(css=css, theme=steel_blue_theme, share=True)
 ```
 
 ---