Update src/webui.py

src/webui.py

@@ -174,24 +174,24 @@ if __name__ == '__main__':
         )
         gr.Markdown("Duplicate the old CPU space for use in private: [![Duplicate this Space](https://huggingface.co/datasets/huggingface/badges/raw/main/duplicate-this-space-sm-dark.svg)](https://huggingface.co/spaces/r3gm/AICoverGen_old_stable_cpu?duplicate=true)\n\n") 
 
-    with gr.Tab("Find Models"):
-        # Input field for model query
-        model_query = gr.Textbox(placeholder="Eg: Taylor Swift, Drake", max_lines=1, lines=1, label="Search Models")
-
-        # Dataframe to display the filtered models
-        model_display = gr.Dataframe(
-            headers=["name", "author", "url"],
-            datatype=["str", "str", "str"],
-            row_count=5,
-            col_count=(3, "fixed"),
-            label="Model Results"
-        )
-
-        # Button to trigger the search
-        filter_btn = gr.Button("Search")
-
-        # Connect the button click to the filter_models function
-        filter_btn.click(fn=lambda query: filter_models([], query), inputs=model_query, outputs=model_display)
+        with gr.Tab("Find Models"):
+            # Input field for model query
+            model_query = gr.Textbox(placeholder="Eg: Taylor Swift, Drake", max_lines=1, lines=1, label="Search Models")
+
+            # Dataframe to display the filtered models
+            model_display = gr.Dataframe(
+                headers=["name", "author", "url"],
+                datatype=["str", "str", "str"],
+                row_count=5,
+                col_count=(3, "fixed"),
+                label="Model Results"
+            )
+
+            # Button to trigger the search
+            filter_btn = gr.Button("Search")
+
+            # Connect the button click to the filter_models function
+            filter_btn.click(fn=lambda query: filter_models([], query), inputs=model_query, outputs=model_display)
 
             
         with gr.Tab("Generate"):