init

app.py

@@ -1,45 +1,3 @@
-# import gradio as gr
-
-# title = "SteelBERT"
-
-# examples = [
-#     ['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'],
-#     ["The corrosion resistance of stainless steel is attributed to the [MASK] of a passive film on the surface.", 'SteelBERT'],
-#     ["Heat treatment of steel involves a controlled [MASK] and cooling process to alter its mechanical properties.", 'SteelBERT'],
-#     ["Nano-engineered [MASK] have the potential to revolutionize the steel industry with their superior properties.", 'SteelBERT']
-# ]
-
-# # Load interfaces for different models
-# try:
-#     io1 = gr.Interface.load("MGE-LLMs/SteelBERT")
-
-
-# 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-uncased']
-# # ]
-
-# examples = [
-#     ['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'],
-#     ["The corrosion resistance of stainless steel is attributed to the [MASK] of a passive film on the surface.", 'SteelBERT'],
-#     ["Heat treatment of steel involves a controlled [MASK] and cooling process to alter its mechanical properties.", 'SteelBERT'],
-#     ["Nano-engineered [MASK] have the potential to revolutionize the steel industry with their superior properties.", 'SteelBERT']
-# ]
-
-
 import gradio as gr
 
 title = "BERT"
@@ -49,29 +7,28 @@ description = "Gradio Demo for BERT. To use it, simply add your text, or click o
 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")
 
+
 def inference(inputtext, model):
     if model == "bert-base-cased":
         outlabel = io1(inputtext)
     else:
         outlabel = io2(inputtext)
     return outlabel
-
-inputs = gr.Textbox(label="Context", lines=10)
-model_choice = gr.Dropdown(choices=["bert-base-cased", "bert-base-uncased"], label="Model", default="bert-base-cased")
-outputs = gr.Textbox(label="Output")
+     
 
 gr.Interface(
-    fn=inference,
-    inputs=[inputs, model_choice],
-    outputs=outputs,
+    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)
+    description=description).launch(enable_queue=True)

requirements.txt

@@ -0,0 +1 @@
+gradio==3.43.1