make predict_race_fl unique by its inputs

src/pyethnicity/_ml_models.py

@@ -196,9 +196,11 @@ def predict_race_fl(
 
     input_name = _model.get_inputs()[0].name
 
-    y_pred = []
-    for input_ in tqdm.tqdm(cutils.chunk_seq(X, chunksize)):
-        y_pred.extend(_model.run(None, input_feed={input_name: input_})[0])
+    with tqdm.tqdm(total=len(X)) as pbar:
+        y_pred = []
+        for input_ in cutils.chunk_seq(X, chunksize):
+            y_pred.extend(_model.run(None, input_feed={input_name: input_})[0])
+            pbar.update(len(input_))
 
     preds: dict[str, list] = {r: [] for r in RACES}
     for row in y_pred:
@@ -211,10 +213,14 @@ def predict_race_fl(
     preds[first_name_col] = first_name
     preds[last_name_col] = last_name
 
-    df = pl.DataFrame(preds).select(
-        first_name_col,
-        last_name_col,
-        cs.all().exclude(first_name_col, last_name_col),
+    df = (
+        pl.DataFrame(preds)
+        .select(
+            first_name_col,
+            last_name_col,
+            cs.all().exclude(first_name_col, last_name_col),
+        )
+        .unique([first_name_col, last_name_col])  # TODO: Push this unique up
     )
 
     return df