Update app.py

app.py

@@ -1,20 +1,16 @@
 import gradio as gr
 
 title = "BERT"
-
 description = "Gradio Demo for BERT. To use it, simply add your text, or click one of the examples to load them. Read more at the links below."
-
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1810.04805' target='_blank'>BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding</a></p>"
 
 examples = [
-    ['Paris is the [MASK] of France.','bert-base-cased']
+    ['Paris is the [MASK] of France.', 'bert-base-cased']
 ]
 
-
-io1 = gr.Interface.load("huggingface/bert-base-cased")
-
-io2 = gr.Interface.load("huggingface/bert-base-uncased")
-
+# Lade die Interfaces für die Modelle
+io1 = gr.load("huggingface/bert-base-cased")
+io2 = gr.load("huggingface/bert-base-uncased")
 
 def inference(inputtext, model):
     if model == "bert-base-cased":
@@ -22,13 +18,17 @@ def inference(inputtext, model):
     else:
         outlabel = io2(inputtext)
     return outlabel
-     
 
+# Aktualisierte Gradio-Syntax
 gr.Interface(
-    inference, 
-    [gr.inputs.Textbox(label="Context",lines=10),gr.inputs.Dropdown(choices=["bert-base-cased","bert-base-uncased"], type="value", default="bert-base-cased", label="model")], 
-    [gr.outputs.Label(label="Output")],
+    fn=inference,
+    inputs=[
+        gr.Textbox(label="Context", lines=10),
+        gr.Dropdown(choices=["bert-base-cased", "bert-base-uncased"], value="bert-base-cased", label="model")
+    ],
+    outputs=gr.Label(label="Output"),
     examples=examples,
     article=article,
     title=title,
-    description=description).launch(enable_queue=True)
+    description=description
+).launch(enable_queue=True)