| import gradio as gr | |
| from transformers import pipeline | |
| import os | |
| token = os.environ.get("HF_TOKEN") | |
| pipe = pipeline("text-classification", model="herzlicemi/37a0-5klk-3rla-0", token=token) | |
| def predict(text): | |
| return str(pipe(text)) | |
| demo = gr.Interface( | |
| fn=predict, | |
| inputs='text', | |
| outputs='text', | |
| ) | |
| demo.launch() |