init

app.py

@@ -1,34 +1,9 @@
 import gradio as gr
 
-title = "BERT"
+def greet(name):
+    return "Hello " + name + "!"
 
-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']
-]
-
-
-io1 = gr.Interface.load("huggingface/bert-base-cased")
-
-io2 = gr.Interface.load("huggingface/bert-base-uncased")
-
-
-def inference(inputtext, model):
-    if model == "bert-base-cased":
-        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="bert-base-cased", label="model")], 
-    [gr.outputs.Label(label="Output")],
-    examples=examples,
-    article=article,
-    title=title,
-    description=description).launch(enable_queue=True)
+demo = gr.Interface(fn=greet, inputs="textbox", outputs="textbox")
+    
+if __name__ == "__main__":
+    demo.launch()