Update app.py

app.py

@@ -4,9 +4,8 @@ title = "SteelBERT"
 
 description = "Gradio Demo for SteelBERT. To use it, simply add your text, or click one of the examples to load them. Read more at the links below."
 
-
 examples = [
-    ['Paris is the [MASK] of France.','bert-base-cased'],
+    ['Paris is the [MASK] of France.', 'SteelBERT'],
     ["A composite steel plate for marine construction was fabricated using 316L stainless steel.", 'SteelBERT'],
     ["The use of composite [MASK] in construction is growing rapidly.", 'SteelBERT'],
     ["Advances in [MASK] science are leading to stronger and more durable steel products.", 'SteelBERT'],
@@ -15,24 +14,25 @@ examples = [
     ["Nano-engineered [MASK] have the potential to revolutionize the steel industry with their superior properties.", 'SteelBERT']
 ]
 
-
+# Load interfaces for different models
 io1 = gr.Interface.load("huggingface/SteelBERT")
-
 io2 = gr.Interface.load("huggingface/bert-base-uncased")
 
-
 def inference(inputtext, model):
     if model == "SteelBERT":
         outlabel = io1(inputtext)
     else:
         outlabel = io2(inputtext)
     return outlabel
-     
 
 gr.Interface(
-    inference, 
-    [gr.inputs.Textbox(label="Context",lines=10),gr.inputs.Dropdown(choices=["bert-base-cased","bert-base-uncased"], type="value", default="SteelBERT", label="model")], 
-    [gr.outputs.Label(label="Output")],
+    fn=inference, 
+    inputs=[
+        gr.Textbox(label="Context", lines=10), 
+        gr.Dropdown(choices=["SteelBERT", "bert-base-uncased"], type="value", default="SteelBERT", label="Model")
+    ], 
+    outputs=gr.Label(label="Output"),
     examples=examples,
     title=title,
-    description=description).launch(enable_queue=True)
+    description=description
+).launch(enable_queue=True)