Slimmed down markdown text and removed all markdown links (broken in Gradio)

app.py

@@ -128,10 +128,8 @@ def classify(text, file):
 with gr.Blocks() as demo:
     gr.Markdown("# ScandiProb: Hybrid Language ID Classifier")
     gr.Markdown("### By Ian Rodriguez")
-    gr.Markdown("Enter text or upload a file to output independent probabilities that it is written in **Norwegian**, **Swedish**, **Danish**, or **None of the Above / Non-Scandinavian**. Only first 512 tokens of input will be used.")
-    gr.Markdown("This model utilizes a fine-tuned [ScandiBERT](https://huggingface.co/vesteinn/ScandiBERT), trained on limited amounts of [OPUS-100](https://huggingface.co/datasets/Helsinki-NLP/opus-100/), and combined with regex-enforced heuristics. Achieves ~93% macro-F1 score on OPUS-100 test set and ~84% macro-F1 score against the comprehensive [SLIDE eval set](https://huggingface.co/datasets/ltg/slide), with a fraction of the training data used in SLIDE.", sanitize_html=False)
-    gr.Markdown("[This project is licensed under AGPL-3.0.](https://www.gnu.org/licenses/agpl-3.0.en.html)", sanitize_html=False)
-    gr.Markdown("([GitHub](https://github.com/cloudeerie/scandiprob) | [Kaggle Notebooks](https://www.kaggle.com/code/cloudeerie/scandiprob/) | [Raw Model Page](https://huggingface.co/ianro04/ScandiProb))", sanitize_html=False)
+    gr.Markdown("Enter text or upload a file to output independent probabilities that it is written in **Norwegian**, **Swedish**, **Danish**, or **None of the Above / Non-Scandinavian**. Only the first 512 tokens of input will be used.")
+    gr.Markdown("This model utilizes a fine-tuned *ScandiBERT*, trained on limited amounts of *OPUS-100*, and combined with regex-enforced heuristics. Achieves ~93% macro-F1 score on OPUS-100 test set and ~84% macro-F1 score against the comprehensive SLIDE eval set, with a fraction of the training data used in SLIDE.")
     
     with gr.Row():
         with gr.Column():