Update app.py

app.py

@@ -36,7 +36,21 @@ css = """
 
 # Import necessary libraries
 import gradio as gr  # Gradio is used to create web interfaces for Python scripts.
-from transformers import AutoConfig  # AutoConfig is from the Hugging Face Transformers library, used to create configuration for various models.
+from transformers import AutoConfig  # AutoConfig is from the Hugging Face Transformers library, used to create configuration for various models.import gradio as gr
+
+def generate_grid():
+    with gr.Blocks(css=css, label="The Big Gridio", elem_class="layout", elem_id="grid-lg") as grid:
+        for row in range(12):
+            with gr.Row() as row_container:
+                for col in range(12):
+                    with gr.Column() as col_container:
+                        col_container.style.elem_class = f"col-{col}"
+                        col_container.style.elem_id = f"col-{col}"
+                        # Add any additional content or components to the column container here
+                        gr.Label(f"Row: {row} | Col: {col}")
+
+    generate_grid()
+
 
 # A list of model names to start with. These are names of popular models from the Hugging Face library.
 model_list = ["bert-base-uncased", "gpt2", "distilbert-base-uncased"]
@@ -118,20 +132,3 @@ with gr.Blocks(css=custom_css) as demo:
 
 # Launch the Gradio interface.
     demo.launch()
-
-
-import gradio as gr
-
-def generate_grid():
-    with gr.Blocks(css=css, label="The Big Gridio", elem_class="layout", elem_id="grid-lg") as grid:
-        for row in range(12):
-            with gr.Row() as row_container:
-                for col in range(12):
-                    with gr.Column() as col_container:
-                        col_container.style.elem_class = f"col-{col}"
-                        col_container.style.elem_id = f"col-{col}"
-                        # Add any additional content or components to the column container here
-                        gr.Label(f"Row: {row} | Col: {col}")
-
-if __name__ == "__main__":
-    generate_grid()