Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 
 title = "Tagalog RoBERTa"
 
-description = "Tagalog 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."
+description = "<p style='text-align: center'>Tagalog 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.</p>"
 
 article = "Improving Large-scale Language Models and Resources for Filipino,Jan Christian Blaise Cruz and Charibeth Cheng,arXiv preprint arXiv:2111.06053,2021"
 
@@ -10,13 +10,14 @@ examples = [
     ['Ang alaga ni Biboy ay <mask>.','roberta-']
 ]
 
-io1 = gr.Interface.load("huggingface/roberta-base")
+
+io1 = gr.Interface.load("huggingface/jcblaise/roberta-tagalog-base")
 
 io2 = gr.Interface.load("huggingface/jcblaise/roberta-tagalog-large")
 
 
 def inference(inputtext, model):
-    if model == "roberta-base":
+    if model == "roberta-tagalog-base":
         outlabel = io1(inputtext)
     else:
         outlabel = io2(inputtext)
@@ -24,10 +25,10 @@ def inference(inputtext, model):
      
 
 gr.Interface(
-    gr.Interface.load("huggingface/jcblaise/roberta-tagalog-large"), 
-    [gr.inputs.Textbox(label="Input Text",lines=10)], 
+    inference, 
+    [gr.inputs.Textbox(label="Input text",lines=10),gr.inputs.Dropdown(choices=["roberta-tagalog-base","roberta-tagalog-large"], type="value", default="roberta-tagalog-base", 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)