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def get_predictions(input_text: str) -> dict: | |
label2id = model.config.label2id | |
inputs = tokenizer(input_text, return_tensors='pt', truncation=True) | |
inputs = inputs.to(device) | |
outputs = model(**inputs) | |
logits = outputs.logits | |
sigmoid = torch.nn.Sigmoid() | |
probs = sigmoid(logits.squeeze().cpu()) | |
probs = probs.detach().numpy() | |
for i, k in enumerate(label2id.keys()): | |
label2id[k] = probs[i] | |
label2id = {k: float(v) for k, v in sorted(label2id.items(), key=lambda item: item[1].item(), reverse=True)} | |
print(label2id) | |
return label2id | |
import gradio as gr | |
gr.Interface( | |
fn=get_predictions, | |
inputs=gr.components.Textbox(label='Input'), | |
theme = "darkdefault", | |
outputs=gr.components.Label(label='Predictions', num_top_classes=3), | |
allow_flagging='never' | |
).launch(debug='True') | |