app.py

import gradio as gr
from transformers import pipeline

clf = pipeline("text-classification", model="jeromex1/NorBERT_Chti")

def predict(text):
    result = clf(text)[0]  # premier élément
    label = result["label"]
    score = round(result["score"], 3)
    return f"{label} ({score})"

demo = gr.Interface(
    fn=predict,
    inputs=gr.Textbox(lines=2, placeholder="Écris une phrase en Chti..."),
    outputs="text",
    title="NorBERT – Analyse de sentiments en Chti",
    description="Fine-tuning de CamemBERT pour la classification (positif / neutre / négatif)."
)

if __name__ == "__main__":
    demo.launch()