| 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', | |
| examples=[ | |
| [ | |
| "I arrived in Bali in the morning, after a long flight from my home country. As I stepped out of the airport, I was immediately struck by the warm, humid air and the sound of birds chirping in the trees. I was greeted by a friendly taxi driver who offered to take me to my hotel in Kuta, a popular beach town on the south coast of the island." | |
| ], | |
| [ | |
| "Upon my arrival in Bali in the morning, it was already late according to the time zone of my hometown after a long journey. On coming out of the airport I felt the steam hot air and the song of the singing insects in the trees. A kind taxi driver gave me a ride to a resort at Kuta – beach town located on the southern coast of the island." | |
| ] | |
| ] | |
| ) | |
| demo.launch() |