Update app.py

app.py

@@ -1,28 +1,26 @@
 from fastai.vision.all import *
 import gradio as gr
 
+# Example custom label function used during training
+def get_label(fn): return fn.parent.name
+
+# If any custom transform class or model wrapper was used, define/import it here
+
 # Load the exported model
 learn = load_learner('trash_model(1).pkl')
 
-# Define labels (make sure they match your model's training labels)
 labels = learn.dls.vocab
 
-# Define prediction function
 def classify_trash(img):
     pred_class, pred_idx, probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-examples = ["plastic.jpg", "glass.png"]
-
-# Gradio Interface
 interface = gr.Interface(
     fn=classify_trash,
     inputs=gr.Image(type="pil"),
     outputs=gr.Label(num_top_classes=5),
     title="Trash Classifier",
-    description="Upload a trash image to classify it into one of 5 categories.",
-    examples=examples
+    description="Upload a trash image to classify it into one of 5 categories."
 )
 
-# Launch app
 interface.launch()