| import gradio as gr | |
| from flair.data import Sentence | |
| from flair.models import SequenceTagger | |
| # Load the model | |
| model = SequenceTagger.load("qanastek/pos-french") | |
| def greet(content): | |
| # George Washington est allé à Washington | |
| # res = "Hello " + content + "!!" | |
| sentence = Sentence(content) | |
| # predict tags | |
| model.predict(sentence) | |
| # print predicted pos tags | |
| res = sentence.to_tagged_string() | |
| return res | |
| iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| iface.launch() |