Update app.py

app.py

@@ -11,11 +11,6 @@ Overview
   - "/chat"  : Simple chat UI powered by Groq API
   - "/api/*" : Chat and speech-to-text helpers
 
-Important
-- Accuracy depends on the quality and consistency of notebook embeddings. The query
-  embedding here is a lightweight placeholder to keep the system running without
-  heavy models. Replace `embed_query_vector()` later with the same embedding model
-  used in the notebook for best results.
 """
 
 from __future__ import annotations
@@ -222,9 +217,9 @@ def bootstrap_artifacts() -> None:
     with open(LABELS_JSON, "r", encoding="utf-8") as f:
         labels = json.load(f)
 
-    with open(THRESH_JSON, "r", encoding="utf-8") as f:
-        config = json.load(f)
-        COSINE_DIST_THRESHOLD = float(config.get("cosine_threshold", COSINE_DIST_THRESHOLD))
+  with open(THRESH_JSON, "r", encoding="utf-8") as f:
+    config = json.load(f)
+    COSINE_SIM_THRESHOLD = float(config.get("cosine_threshold", COSINE_SIM_THRESHOLD))
 
     app.logger.info(
         "[bootstrap] gallery=%s labels=%d threshold=%.4f",
@@ -377,15 +372,18 @@ def verify_face_identity(user_name: str, image_bytes: bytes) -> dict:
     g = G[idx].astype("float32")
 
     # Cosine distance decision
-    dist = cosine_distance(q, g)
-    accepted = dist <= COSINE_DIST_THRESHOLD
-
-    return {
-        "ok": bool(accepted),
-        "score": float(dist),
-        "threshold": float(COSINE_DIST_THRESHOLD),
-        "reason": None if accepted else "Not within threshold",
-    }
+dist = cosine_distance(q, g)     # distance (0 = identical, 1 = different)
+sim  = 1.0 - dist                # convert back to similarity
+
+accepted = sim >= COSINE_SIM_THRESHOLD
+
+return {
+    "ok": bool(accepted),
+    "score": float(sim),  # now showing similarity
+    "threshold": float(COSINE_SIM_THRESHOLD),
+    "reason": None if accepted else "Not within threshold",
+}
+
 
 
 @app.post("/verify")