| import gradio as gr | |
| from transformers import pipeline | |
| #TEST: | |
| camembert_fill_mask = pipeline("fill-mask", model="camembert-base") | |
| def predict(text): | |
| # text = "Le camembert est <mask> :)" | |
| results = camembert_fill_mask(text) | |
| return {p["sequence"]: p["score"] for p in results} | |
| gr.Interface( | |
| predict, | |
| inputs=gr.inputs.Textbox(placeholder="Le camembert est <mask> :", lines=1, label="Use <mask> where filling is required"), | |
| outputs=gr.outputs.Label(num_top_classes=3), | |
| title="Le camembert est <mask> :) - Demo", | |
| ).launch() | |