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Update app.py
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import gradio as gr
from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
tokenizer = AutoTokenizer.from_pretrained("ukr-models/xlm-roberta-base-uk")
model = AutoModelForSequenceClassification.from_pretrained(
"ua-l/topics-classifier-xlm-roberta-base-uk-v2"
)
topic_classifier = pipeline(
task="text-classification", model=model, tokenizer=tokenizer, device="cpu", top_k=5
)
def predict(question):
predictions = topic_classifier(question)
topics = []
for prediction in predictions[0]:
label = prediction["label"]
probability = round(prediction["score"] * 100, 2)
topics.append(
{
"label": label,
"probability": probability,
}
)
return topics
inputs = gr.Textbox(lines=2, label="Enter the text", value="Як отримати виплати ВПО?")
outputs = gr.JSON(label="Output")
demo = gr.Interface(fn=predict, inputs=inputs, outputs=outputs)
demo.launch()