Create app.py

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from transformers import pipeline
+
+model_path = "./model"
+classifier = pipeline("text-classification", model="./model")
+
+def predict(text):
+    result = classifier(text)
+    return "Safe Email" if result[0]['label'] == "LABEL_0" else "Spam Email"
+
+iface = gr.Interface(
+    fn=predict,
+    inputs="text",
+    outputs="label",
+    title="Spam or not",
+    description="Enter Email body to classify it as spam or not spam.",
+)
+
+iface.launch()