Update app.py

app.py

@@ -20,7 +20,7 @@ summ = pipeline("summarization", model=SUM_MODEL)
 class ZSCReq(BaseModel):
     text: str
     labels: list[str] = []
-    multi_label: bool = True
+    multi_label: bool = False
     template: str = "This feedback is primarily about {}."
 
 class SAReq(BaseModel):
@@ -41,7 +41,7 @@ def warmup():
 # === ROUTES ===
 @app.get("/")
 def health():
-    return {"status": "ok"}
+    return {"status": "ok", "model": ZSC_MODEL, "labels": DEFAULT_LABELS}
 
 # in your HF Space app.py
 @app.post("/predict")
@@ -56,13 +56,15 @@ def predict(req: ZSCReq):
     )
             
     pairs = sorted(zip(out["labels"], out["scores"]), key=lambda p: p[1], reverse=True)
+    if not pairs:
+        return {"labels": [], "scores": []}
     lbls, scs = zip(*pairs)
     return {"labels": list(lbls), "scores": list(map(float, scs))}
 
 @app.post("/sa")
 def sentiment(req: SAReq):
     result = sa(req.text)[0]
-    return {"label": r["label"], "score": float(r["score"])}
+    return {"label": result["label"], "score": float(result["score"])}
 
 @app.post("/sum")
 def summarize(req: SumReq):