Add application file

app.py

@@ -0,0 +1,32 @@
+import gradio as gr
+from sentence_transformers import SentenceTransformer
+
+model_name = "BAAI/bge-large-zh-v1.5"
+model = SentenceTransformer(model_name, device="cpu")
+
+
+def cal_sim(intent, cand1, cand2, cand3, cand4, cand5):
+    cand_list = [cand1, cand2, cand3, cand4, cand5]
+    cand_list = [cand for cand in cand_list if cand]
+    embeddings_1 = model.encode([intent], normalize_embeddings=True)
+    embeddings_2 = model.encode(cand_list, normalize_embeddings=True)
+    similarity = embeddings_1 @ embeddings_2.T
+    similarity = similarity[0]
+    sim_output = {}
+    for i, sim in zip(cand_list, similarity):
+        if i:
+            sim_output[i] = float(sim)
+    return sim_output
+
+demo = gr.Interface(fn=cal_sim,
+                    inputs=[gr.components.Textbox(label="User query"),
+                            gr.components.Textbox(label="candidate01"),
+                            gr.components.Textbox(label="candidate02"),
+                            gr.components.Textbox(label="candidate03"),
+                            gr.components.Textbox(label="candidate04"),
+                            gr.components.Textbox(label="candidate05"),
+                            ],
+                    outputs=gr.components.Label())
+    
+if __name__ == "__main__":
+    demo.launch(share=True, debug=True)