Create app.py

app.py

@@ -0,0 +1,33 @@
+from fastapi import FastAPI, HTTPException
+from huggingface_hub import hf_hub_download
+import pandas as pd
+
+DATASET_REPO = "credi-net/CrediPred"
+FILENAME = "mlpnfer_dec2024_pc1_embeddinggemma-300m_GNN-RNI.parquet"
+
+app = FastAPI(title="CrediNet API")
+
+lookup = {}
+
+@app.on_event("startup")
+def load_data():
+    global lookup
+    path = hf_hub_download(
+        repo_id=DATASET_REPO,
+        filename=FILENAME,
+        repo_type="dataset"
+    )
+    df = pd.read_parquet(path, columns=["domain", "pc1_score"])
+    lookup = dict(zip(df["domain"], df["pc1_score"]))
+    print(f"Loaded {len(lookup):,} rows")
+
+@app.get("/health")
+def health():
+    return {"status": "ok", "rows": len(lookup)}
+
+@app.get("/score")
+def get_score(domain: str):
+    score = lookup.get(domain)
+    if score is None:
+        raise HTTPException(status_code=404, detail="Domain not found")
+    return {"domain": domain, "pc1_score": float(score)}