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| import gradio as gr | |
| from transformers import pipeline | |
| classifier = pipeline(task="zero-shot-classification", model = "MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli") | |
| def classify(text): | |
| candidate_labels = ["positive", "negative", "neutral"] | |
| output = classifier(text, candidate_labels) | |
| # Process the output to match Gradio's expected input format for gr.Label | |
| labels = output['labels'] | |
| scores = output['scores'] | |
| # Construct a simple string representation of top classifications | |
| top_classes = ', '.join([f"{labels[i]}: {scores[i]:.2f}" for i in range(len(labels))]) | |
| return top_classes | |
| demo = gr.Interface(fn=classify, | |
| inputs=gr.Textbox(label="Enter something"), | |
| outputs=gr.Label()) | |
| demo.launch() |