Update app.py

app.py

@@ -217,7 +217,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
                 4. Non-recoverable mask is applied to identified elements using **[OpenCV](https://github.com/opencv/opencv)**.
                 5. The masked images are converted back to a PDF again using **[PyMuPDF](https://github.com/pymupdf/PyMuPDF)**.
                 """)
-    gr.Markdown("*Note: If you already have a ML setup, it is preferable that you download the repo and use it offline. It offers better privacy and can use GPU for (much) faster computations while utilising a better model like **[FacebookAI/xlm-roberta-large-finetuned-conll03-english](https://huggingface.co/FacebookAI/xlm-roberta-large-finetuned-conll03-english)** or **[blaze999/Medical-NER](https://huggingface.co/blaze999/Medical-NER)***")
+    gr.Markdown("*Note: If you already have a ML setup, it is preferable that you download the [github repo](https://github.com/mitanshu7/RedactNLP) and use it offline. It offers better privacy and can use GPU for (much) faster computations while utilising a better model like **[FacebookAI/xlm-roberta-large-finetuned-conll03-english](https://huggingface.co/FacebookAI/xlm-roberta-large-finetuned-conll03-english)** or **[blaze999/Medical-NER](https://huggingface.co/blaze999/Medical-NER)***")
     
     # Input Section
     pdf_file_input = gr.File(file_count='single', file_types=['pdf'], label='Upload PDF', show_label=True, interactive=True)