Create app.py

app.py

@@ -0,0 +1,33 @@
+import gradio as gr
+from transformers import AutoConfig
+
+# Predefined list of models
+model_list = ["bert-base-uncased", "gpt2", "distilbert-base-uncased"]
+
+def update_model_list(new_model):
+    if new_model not in model_list:
+        model_list.append(new_model)
+    return model_list
+
+def create_config(model_name, num_labels, use_cache):
+    config = AutoConfig.from_pretrained(model_name, num_labels=num_labels, use_cache=use_cache)
+    return str(config)
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Config Class - Transformers")
+    with gr.Row():
+        model_dropdown = gr.Dropdown(label="Select a Model", choices=model_list)
+        add_model_box = gr.Textbox(label="Add a New Model")
+        add_model_button = gr.Button("Add Model")
+    num_labels = gr.Number(label="Number of Labels", default=2)
+    use_cache = gr.Checkbox(label="Use Cache", default=True)
+    output = gr.Textbox(label="Config Output", readonly=True)
+    submit_button = gr.Button("Create Config")
+
+    # Logic to add a new model to the dropdown
+    add_model_button.click(fn=update_model_list, inputs=add_model_box, outputs=model_dropdown)
+
+    # Logic to create a config
+    submit_button.click(fn=create_config, inputs=[model_dropdown, num_labels, use_cache], outputs=output)
+
+demo.launch()