Update app.py

app.py

@@ -77,13 +77,13 @@ def predict(image: Image.Image):
     sp_conf = float(prob_sp[sp_id].item())
     st_conf = float(prob_st[st_id].item())
 
-    sp_text = f"{SPECIES[sp_id]}  (id={sp_id}, conf={sp_conf:.3f})"
-    st_text = f"{STATE[st_id]}  (id={st_id}, conf={st_conf:.3f})"
+    sp_text = f"{SPECIES[sp_id]}  (id={sp_id}, score={sp_conf:.3f})"
+    st_text = f"{STATE[st_id]}  (id={st_id}, score={st_conf:.3f})"
 
     return sp_text, st_text
 
 EXAMPLE_TEXT = """
-12 species: Cacoxnus indagator, Chelostoma florisomne, Coeliopencyrtus, Eumenidae,
+12 taxa: Cacoxnus indagator, Chelostoma florisomne, Coeliopencyrtus, Eumenidae,
 Heriades, Hylaeus, Megachile, Osmia bicornis, Osmia cornuta, Passaloecus, Psenulus, Trypoxylon
 
 4 states: DauLv, DeadLv, Lv, OldFood
@@ -93,7 +93,7 @@ demo = gr.Interface(
     fn=predict,
     inputs=gr.Image(type="pil"),
     outputs=[
-        gr.Textbox(label="Predicted species"),
+        gr.Textbox(label="Predicted taxon"),
         gr.Textbox(label="Predicted state"),
     ],
     title="EfficientNet Two-Head Layer Trap Nest (LTN) Classifier",