Update README.md

README.md

@@ -137,18 +137,29 @@ model_path = download_model("Unbabel/unite-mup")
 model = load_from_checkpoint(model_path)
 data = [
     {
-        "src": "Dem Feuer konnte Einhalt geboten werden",
-        "mt": "The fire could be stopped",
-        "ref": "They were able to control the fire."
+        "src": "这是个句子。",
+        "mt": "This is a sentence.",
+        "ref": "It is a sentence."
     },
     {
-        "src": "Schulen und Kindergärten wurden eröffnet.",
-        "mt": "Schools and kindergartens were open",
-        "ref": "Schools and kindergartens opened"
+        "src": "这是另一个句子。",
+        "mt": "This is another sentence.",
+        "ref": "It is another sentence."
     }
 ]
 model_output = model.predict(data, batch_size=8, gpus=1)
-print (model_output)
+
+# Expected SRC score:
+# [0.3474583327770233, 0.4492775797843933]
+print (model_output.metadata.src_scores)
+
+# Expected REF score:
+# [0.9252626895904541, 0.899452269077301]
+print (model_output.metadata.ref_scores)
+
+# Expected UNIFIED score:
+# [0.8758717179298401, 0.8294666409492493]
+print (model_output.metadata.unified_scores)
 ```
 
 # Intended uses