Create app.py

app.py

@@ -0,0 +1,24 @@
+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()