Update app.py

app.py

@@ -1,3 +1,5 @@
+// Filename: app.py (di Hugging Face Space)
+
 import gradio as gr
 from transformers import pipeline
 from PIL import Image
@@ -12,7 +14,6 @@ def classify(image):
     # The model returns a list of dictionaries, e.g., [{'label': '...', 'score': ...}]
     predictions = model(image)
     
-    # --- THE FIX IS HERE ---
     # Convert the list of dicts into a single dict that gr.Label expects:
     # {'label_string': score_float, ...}
     confidences = {p['label']: p['score'] for p in predictions}
@@ -23,8 +24,8 @@ def classify(image):
 app = gr.Interface(
     fn=classify,
     inputs=gr.Image(type="pil"),
-    # gr.Label() can now correctly process the new output format
     outputs=gr.Label(), 
+    api_name="predict",  # <-- INI ADALAH PERBAIKAN PENTING
     title="Tomato Leaf Disease Analyzer",
     description="Upload a tomato leaf image to detect the disease."
 )