app.py

import gradio as gr
from transformers import pipeline

# Charger le modèle existant depuis Hugging Face
classifier = pipeline("text-classification", model="IreNkweke/HamOrSpamModel")

def predict_spam(text):
    result = classifier(text)[0]
    label = result['label']  # 'LABEL_0' ou 'LABEL_1'
    if label in ['LABEL_0', 'Ham']:
        return "Ham (Not Spam)"
    else:
        return "Spam"

# Interface Gradio
iface = gr.Interface(
    fn=predict_spam,
    inputs=gr.Textbox(lines=4, placeholder="Enter your message here..."),
    outputs="text",
    title="Spam/Ham Classifier",
    description="Classifier messages as Spam or Ham using a pre-trained model."
)

iface.launch()