main welcome text added with link to family of models

app.py

@@ -9,6 +9,18 @@ from mammal_demo.ppi_task import PpiTask
 from mammal_demo.ps_task import PsTask
 from mammal_demo.tcr_task import TcrTask
 
+MAIN_MARKDOWN_TEXT = """
+
+The **[ibm/biomed.omics.bl.sm.ma-ted-458m](https://huggingface.co/models?sort=trending&search=ibm%2Fbiomed.omics.bl)**  model family is a biomedical foundation model and its finetuned variants trained on over 2 billion biological samples across multiple modalities, including proteins, small molecules, and single-cell gene data.  
+Designed for robust performance, it achieves state-of-the-art results over a variety of tasks across the entire drug discovery pipeline and the diverse biomedical domains.  
+
+Based on the **M**olecular **A**ligned **M**ulti-**M**odal **A**rchitecture and **L**anguage (**MAMMAL**), a flexible, multi-domain architecture with an adaptable task prompt syntax.  
+The syntax allows for dynamic combinations of tokens and scalars, enabling classification, regression, and generation tasks either within a single domain or with cross-domain entities.
+
+This page demonstraits a variety of drug discovery and biomedical tasks for the model family.  Select the task to access the specific demos.
+"""
+
+
 all_tasks = TaskRegistry()
 all_models = ModelRegistry()
 
@@ -40,13 +52,13 @@ all_models.register_model(
     task_list=[ppi_task],
 )
 all_models.register_model(
-    "https://huggingface.co/ibm/biomed.omics.bl.sm.ma-ted-458m.moleculenet_clintox_tox"
+    "ibm/biomed.omics.bl.sm.ma-ted-458m.moleculenet_clintox_tox"
 )
 all_models.register_model(
-    "https://huggingface.co/ibm/biomed.omics.bl.sm.ma-ted-458m.moleculenet_clintox_fda"
+    "ibm/biomed.omics.bl.sm.ma-ted-458m.moleculenet_clintox_fda"
 )
 all_models.register_model(
-    "https://huggingface.co/ibm/biomed.omics.bl.sm.ma-ted-458m.moleculenet_bbbp"
+    "ibm/biomed.omics.bl.sm.ma-ted-458m.moleculenet_bbbp"
 )
 
 
@@ -73,6 +85,7 @@ def create_application():
         )
 
     with gr.Blocks(theme="Zarkel/IBM_Carbon_Theme") as application:
+        application_main_markdown=gr.Markdown(MAIN_MARKDOWN_TEXT)
         task_dropdown = gr.Dropdown(
             choices=["Select task"] + list(all_tasks.keys()),
             label="Mammal Task",