Update app.py

app.py

@@ -1,9 +1,33 @@
 import gradio as gr
 
-description = "Gradio demo for Tagalog Roberta, A Robustly Optimized BERT Pretraining Approach. 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/1907.11692'>RoBERTa: A Robustly Optimized BERT Pretraining Approach</a> | <a href='https://github.com/pytorch/fairseq/'>Github Repo</a></p>"
+title = "RoBERTa"
 
-default_text = "Si Biboy ay may alagang baka. Ang pangalan ng baka ay Biko. Malusog at mataba ang alagang baka ni Biboy."
+description = "Gradio Demo for RoBERTa. To use it, simply add your text, or click one of the examples to load them. Read more at the links below."
 
-gr.Interface.load("huggingface/jcblaise/roberta-tagalog-large", title=None, inputs=[gr.inputs.Textbox(label="Context", lines=5, default=default_text[0]), gr.inputs.Textbox(label="Question", default=default_text[1])]).launch()
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1907.11692' target='_blank'>RoBERTa: A Robustly Optimized BERT Pretraining Approach</a></p>"
 
+examples = [
+    ['The goal of life is <mask>.','roberta-base']
+]
+
+io1 = gr.Interface.load("huggingface/roberta-base")
+
+io2 = gr.Interface.load("huggingface/jcblaise/roberta-tagalog-large")
+
+
+def inference(inputtext, model):
+    if model == "roberta-base":
+        outlabel = io1(inputtext)
+    else:
+        outlabel = io2(inputtext)
+    return outlabel
+     
+
+gr.Interface(
+    inference, 
+    [gr.inputs.Textbox(label="Context",lines=10),gr.inputs.Dropdown(choices=["roberta-base","roberta-tagalog-large"], type="value", default="roberta-base", label="model")], 
+    [gr.outputs.Label(label="Output")],
+    examples=examples,
+    article=article,
+    title=title,
+    description=description).launch(enable_queue=True)