Create app.py

app.py

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+import gradio as gr
+from sentence_transformers import CrossEncoder
+
+# Load CrossEncoder model
+model = CrossEncoder("cross-encoder/nli-deberta-v3-base")
+
+def predict_similarity(sentence1, sentence2):
+    score = model.predict([(sentence1, sentence2)])
+    return float(score)
+
+demo = gr.Interface(
+    fn=predict_similarity,
+    inputs=["text", "text"],
+    outputs="number",
+    title="CrossEncoder (nli-deberta-v3-base)",
+    description="Enter two sentences to compute semantic similarity."
+)
+
+demo.launch()