Create app.py

app.py

@@ -0,0 +1,14 @@
+import gradio as gr
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("inkleaves/spam_detection_model")
+tokenizer = AutoTokenizer.from_pretrained("inkleaves/spam_detection_model")
+
+def predict(text):
+    inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
+    outputs = model(**inputs)
+    prediction = outputs.logits.argmax(dim=-1).item()
+    return "Spam" if prediction == 1 else "Not Spam"
+
+interface = gr.Interface(fn=predict, inputs="text", outputs="text")
+interface.launch()