chore: import upstream snapshot with attribution

dotnet/samples/Demos/QualityCheck/python-server/app/main.py

@@ -0,0 +1,40 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+from typing import List
+from pydantic import BaseModel
+
+from fastapi import FastAPI
+from evaluate import load
+from comet import download_model, load_from_checkpoint
+
+app = FastAPI()
+
+class SummarizationEvaluationRequest(BaseModel):
+    sources: List[str]
+    summaries: List[str]
+
+class TranslationEvaluationRequest(BaseModel):
+    sources: List[str]
+    translations: List[str]
+
+@app.post("/bert-score/")
+def bert_score(request: SummarizationEvaluationRequest):
+    bertscore = load("bertscore")
+    return bertscore.compute(predictions=request.summaries, references=request.sources, lang="en")
+
+@app.post("/meteor-score/")
+def meteor_score(request: SummarizationEvaluationRequest):
+    meteor = load("meteor")
+    return meteor.compute(predictions=request.summaries, references=request.sources)
+
+@app.post("/bleu-score/")
+def bleu_score(request: SummarizationEvaluationRequest):
+    bleu = load("bleu")
+    return bleu.compute(predictions=request.summaries, references=request.sources)
+
+@app.post("/comet-score/")
+def comet_score(request: TranslationEvaluationRequest):
+    model_path = download_model("Unbabel/wmt22-cometkiwi-da")
+    model = load_from_checkpoint(model_path)
+    data = [{"src": src, "mt": mt} for src, mt in zip(request.sources, request.translations)]
+    return model.predict(data, accelerator="cpu")