feat: 部署对比模型

app.py

@@ -4,7 +4,9 @@ from transformers import AutoModel
 from numpy.linalg import norm
 
 cos_sim = lambda a,b: (a @ b.T) / (norm(a)*norm(b))
-model = AutoModel.from_pretrained('jinaai/jina-embeddings-v2-base-code', trust_remote_code=True)
+model1 = AutoModel.from_pretrained("jinaai/jina-embeddings-v2-base-code", trust_remote_code=True)
+model2 = AutoModel.from_pretrained("jinaai/jina-embeddings-v2-base-en", trust_remote_code=True)
+model3 = AutoModel.from_pretrained("jinaai/jina-embeddings-v2-base-zh", trust_remote_code=True)
 
 @spaces.GPU
 def generate(input1, input2):
@@ -12,13 +14,25 @@ def generate(input1, input2):
         input1 = "How do I access the index while iterating over a sequence with a for loop?"
     if len(input2) < 1:
         input2 = "# Use the built-in enumerator\nfor idx, x in enumerate(xs):\n    print(idx, x)"   
-    embeddings = model.encode(
+    embeddings1 = model1.encode(
         [
             input1,
             input2,
         ]
     )
-    return str(cos_sim(embeddings[0], embeddings[1]))
+    embeddings2 = model2.encode(
+        [
+            input1,
+            input2,
+        ]
+    )
+    embeddings3 = model3.encode(
+        [
+            input1,
+            input2,
+        ]
+    )
+    return cos_sim(embeddings1[0], embeddings1[1]), cos_sim(embeddings2[0], embeddings2[1]), cos_sim(embeddings3[0], embeddings3[1])
 
 gr.Interface(
     fn=generate,
@@ -26,5 +40,9 @@ gr.Interface(
         gr.Text(label="input1", placeholder="How do I access the index while iterating over a sequence with a for loop?"),
         gr.Text(label="input2", placeholder="# Use the built-in enumerator\nfor idx, x in enumerate(xs):\n    print(idx, x)"),
     ],
-    outputs=gr.Text(),
+    outputs=[
+        gr.Text(label="jina-embeddings-v2-base-code"),
+        gr.Text(label="jina-embeddings-v2-base-en"),
+        gr.Text(label="jina-embeddings-v2-base-zh"),
+    ],
 ).launch()