using temporary files for every Roboflow call

app.py

@@ -50,11 +50,19 @@ def detect_eyes_roboflow(image_path, raw_image):
     return crops
 
 def get_largest_iris_prediction(eye_crop):
-    is_success, buffer = cv2.imencode(".jpg", eye_crop)
-    if not is_success: return None
-    resp = CLIENT_IRIS.infer(buffer, model_id="iris_120_set/7")
-    preds = resp.get("predictions", [])
-    return max(preds, key=lambda p: p["width"] * p["height"]) if preds else None
+    "Calls Roboflow to find the largest iris using a temporary file for reliability."
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as tmp:
+        cv2.imwrite(tmp.name, eye_crop)
+        temp_iris_path = tmp.name
+
+    try:
+        # Use the file path for inference, which is more robust
+        resp = CLIENT_IRIS.infer(temp_iris_path, model_id="iris_120_set/7")
+        preds = resp.get("predictions", [])
+        return max(preds, key=lambda p: p["width"] * p["height"]) if preds else None
+    finally:
+        # Ensure the temporary file is always deleted
+        os.remove(temp_iris_path)
 
 def run_leukocoria_prediction(iris_crop):
     if leuko_model is None: return {"error": "Leukocoria model not loaded"}, 0.0