Update app.py

app.py

@@ -1,7 +1,25 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load the exported model
+learn = load_learner('trash_model(1s).pkl')
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# 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"),
+    outputs=gr.Label(num_top_classes=5),
+    title="Trash Classifier",
+    description="Upload a trash image to classify it into one of 5 categories."
+)
+
+# Launch app
+interface.launch()