Update app.py

app.py

@@ -1,20 +1,18 @@
 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')
+learn = load_learner('trash_model(1s).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))}
 
+# Gradio Interface
 interface = gr.Interface(
     fn=classify_trash,
     inputs=gr.Image(type="pil"),
@@ -23,4 +21,5 @@ interface = gr.Interface(
     description="Upload a trash image to classify it into one of 5 categories."
 )
 
+# Launch app
 interface.launch()