Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+from sentence_transformers import SentenceTransformer, util
+model_id = "sentence-transformers/multi-qa-mpnet-base-dot-v1"
+
+model = SentenceTransformer(
+    model_id
+)
+
+def launch(source_sentence, sentences):
+    source = model.encode(source_sentence, convert_to_tensor=True)
+    references = model.encode([e.strip() for e in sentences.split(",")], convert_to_tensor=True)
+    return util.pytorch_cos_sim(source, references)
+
+iface = gr.Interface(launch, inputs=["text","text"], outputs="text")
+iface.launch()