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# Necessary imports
import gradio as gr
from src.modernbert.classifier import ZeroShotTextClassification
# Examples to display in the interface
examples = [
[
"I have a problem with my iPhone that needs to be resolved asap!",
"urgent, not urgent, phone, tablet, computer",
False,
],
[
"Angela Merkel is a politician in Germany and leader of the CDU",
"politics, economy, entertainment, environment",
False,
],
[
"Hi, I recently bought a device from your company but it is not working as advertised and I would like to get reimbursed!",
"refund, legal, faq",
True,
],
]
# Title and description and article for the interface
title = "Zero Shot Text Classification"
description = "Classify text using zero-shot classification with ModernBERT-large zeroshot model! Provide a text input and a list of candidate labels separated by commas. Read more at the links below."
article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2412.13663' target='_blank'>Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference</a> | <a href='https://huggingface.co/MoritzLaurer/ModernBERT-large-zeroshot-v2.0' target='_blank'>Model Page</a></p>"
# Launch the interface
demo = gr.Interface(
fn=ZeroShotTextClassification,
inputs=[
gr.Textbox(label="Input", placeholder="Enter text to classify"),
gr.Textbox(
label="Candidate Labels",
placeholder="Enter candidate labels separated by commas",
),
gr.Checkbox(label="Multi-Label", value=False),
],
outputs=gr.Label(label="Classification"),
title=title,
description=description,
article=article,
examples=examples,
cache_examples=True,
cache_mode="lazy",
theme="Soft",
flagging_mode="never",
)
demo.launch(debug=False)
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