| import gradio as gr | |
| from transformers import pipeline | |
| models = { | |
| "ruBert-tiny2": "cointegrated/rubert-tiny2", | |
| "ruRoberta-large": "sberbank-ai/ruRoberta-large", | |
| "multilingual-e5": "intfloat/multilingual-e5-base" | |
| } | |
| def classify(model, text, labels): | |
| classifier = pipeline("zero-shot-classification", model=models[model]) | |
| result = classifier(text, [l.strip() for l in labels.split(",")]) | |
| return result['labels'][0] | |
| gr.Interface( | |
| fn=classify, | |
| inputs=[ | |
| gr.Dropdown(list(models.keys())), | |
| gr.Textbox(), | |
| gr.Textbox(value="Овощи, Инструменты, Техника") | |
| ], | |
| outputs=gr.Textbox() | |
| ).launch() |