Update app.py

app.py

@@ -229,22 +229,6 @@ def create_interface():
         [Documentation](https://mostly-ai.github.io/mostlyai/) | [Technical White Paper](https://arxiv.org/abs/2508.00718) | [Usage Examples](https://mostly-ai.github.io/mostlyai/usage/) | [Free Cloud Service](https://app.mostly.ai/)
         
         A Python toolkit for generating high-fidelity, privacy-safe synthetic data. 
-        
-        **Modes of operation:**
-        - **LOCAL mode** trains and generates synthetic data on your own compute resources.
-        - **CLIENT mode** connects to a remote MOSTLY AI platform for training and generation.
-        - Generators trained locally can be imported to the platform for sharing and collaboration.
-        
-        **Key resources managed by the SDK:**
-        - **Generators**: Train on your tabular or language data assets.
-        - **Synthetic datasets**: Generate any number of synthetic samples as needed.
-        - **Connectors**: Connect to organizational data sources for reading and writing data.
-        
-        **Common intents and API primitives:**
-        - Train a generator: `g = mostly.train(config)`
-        - Generate records: `sd = mostly.generate(g, config)`
-        - Probe generator: `df = mostly.probe(g, config)`
-        - Connect to data source: `c = mostly.connect(config)`
         """)
         
         with gr.Tab("Quick Start"):
@@ -318,6 +302,25 @@ def create_interface():
             with gr.Row():
                 download_btn = gr.DownloadButton("Download CSV", variant="secondary")
                 comparison_plot = gr.Plot(label="Data Comparison")
+
+            # README
+            gr.Markdown("""
+                **Modes of operation:**
+            - **LOCAL mode** trains and generates synthetic data on your own compute resources.
+            - **CLIENT mode** connects to a remote MOSTLY AI platform for training and generation.
+            - Generators trained locally can be imported to the platform for sharing and collaboration.
+        
+            **Key resources managed by the SDK:**
+            - **Generators**: Train on your tabular or language data assets.
+            - **Synthetic datasets**: Generate any number of synthetic samples as needed.
+            - **Connectors**: Connect to organizational data sources for reading and writing data.
+        
+            **Common intents and API primitives:**
+            - Train a generator: `g = mostly.train(config)`
+            - Generate records: `sd = mostly.generate(g, config)`
+            - Probe generator: `df = mostly.probe(g, config)`
+            - Connect to data source: `c = mostly.connect(config)`
+            """)
         
         # Event handlers
         init_btn.click(