Update app.py

app.py

@@ -1,13 +1,15 @@
 import gradio as gr
-from fastai.vision.all import *
+from transformers import pipeline
 
+pipeline = pipeline(task="image-classification", model="MasleK/snails_snakes_slugs")
 
-learn = load_learner('sss_export.pkl')
-
-def predict(img):
-    img = PILImage.create(img)
-    pred,pred_idx,probs = learn.predict(img)
-    return {labels[i]: float(probs[i]) for i in range(len(labels))}
-
-gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)
+def predict(image):
+    predictions = pipeline(image)
+    return {p["label"]: p["score"] for p in predictions}
 
+gr.Interface(
+    predict,
+    inputs=gr.inputs.Image(label="candidate", type="filepath"),
+    outputs=gr.outputs.Label(num_top_classes=3),
+    title="Snail? Snake? Slug?",
+).launch()