Update app.py

app.py

@@ -313,11 +313,11 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
                 choices=["olmOCR-7B-0725", "Nanonets-OCR-s", "Qwen2-VL-OCR-2B", 
                          "RolmOCR-7B", "Aya-Vision-8B"],
                 label="Select Model",
-                value="Nanonets-OCR-s"
+                value="olmOCR-7B-0725"
             )
             gr.Markdown("**Model Info 💻** | [Report Bug](https://huggingface.co/spaces/prithivMLmods/Multimodal-OCR/discussions)")
             gr.Markdown("> [Nanonets-OCR-s](https://huggingface.co/nanonets/Nanonets-OCR-s): nanonets-ocr-s is a powerful, state-of-the-art image-to-markdown ocr model that goes far beyond traditional text extraction. it transforms documents into structured markdown with intelligent content recognition and semantic tagging.")
-             gr.Markdown("> [olmOCR-7B-0725](https://huggingface.co/allenai/olmOCR-7B-0725): Updating shortly...")
+            gr.Markdown("> [olmOCR-7B-0725](https://huggingface.co/allenai/olmOCR-7B-0725): Updating shortly...")
             gr.Markdown("> [Qwen2-VL-OCR-2B](https://huggingface.co/prithivMLmods/Qwen2-VL-OCR-2B-Instruct): qwen2-vl-ocr-2b-instruct model is a fine-tuned version of qwen2-vl-2b-instruct, tailored for tasks that involve [messy] optical character recognition (ocr), image-to-text conversion, and math problem solving with latex formatting.")
             gr.Markdown("> [RolmOCR](https://huggingface.co/reducto/RolmOCR): rolmocr, high-quality, openly available approach to parsing pdfs and other complex documents optical character recognition. it is designed to handle a wide range of document types, including scanned documents, handwritten text, and complex layouts.")
             gr.Markdown("> [Aya-Vision](https://huggingface.co/CohereLabs/aya-vision-8b): cohere labs aya vision 8b is an open weights research release of an 8-billion parameter model with advanced capabilities optimized for a variety of vision-language use cases, including ocr, captioning, visual reasoning, summarization, question answering, code, and more.")