Create app.py

app.py

@@ -0,0 +1,20 @@
+import streamlit as st
+from sentence_transformers import CrossEncoder
+
+model_name = "Anvilogic/CE-typosquat-detect" 
+model = CrossEncoder(model_name)
+
+st.title("Typosquatting Detection App")
+st.write("Enter two domains to check if one is a typosquatted variant of the other.")
+
+domain = st.text_input("Enter the legitimate domain name:")
+sim_domain = st.text_input("Enter the potentially typosquatted domain name:")
+
+if st.button("Check Typosquatting"):
+    inputs = [(domain, sim_domain)]
+    prediction = model.predict(inputs)[0]
+
+    if prediction > 0.5:
+        st.success(f"The model predicts that '{sim_domain}' is likely a typosquatted version of '{domain}'.")
+    else:
+        st.warning(f"The model predicts that '{sim_domain}' is NOT likely a typosquatted version of '{domain}'.")