Upload app.py

app.py

@@ -1,20 +1,27 @@
-import gradio as gr
-from fastai.vision.all import *
-from huggingface_hub import from_pretrained_fastai
-
-# Load your model from Hugging Face
-learn = from_pretrained_fastai("Laiaromeu/TotallySpies_Classifier")
-labels = learn.dls.vocab
-
-# Prediction function
-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))}
-
-# Create the Gradio interface
-gr.Interface(
-    fn=predict, 
-    inputs=gr.Image(), 
-    outputs=gr.Label(num_top_classes=2)
+import gradio as gr
+from fastai.vision.all import *
+from huggingface_hub import from_pretrained_fastai
+
+
+learn = from_pretrained_fastai("Laiaromeu/TotallySpies_Classifier")
+labels = learn.dls.vocab
+
+
+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))}
+
+
+title = "Totally Spies Classifier"
+description = "Which Totally Spies do you look like?"
+examples = ['Sam', 'Alex', 'Clover']
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.Image(),
+    outputs=gr.Label(num_top_classes=3),
+    title=title,
+    description=description,
+    examples=examples,
 ).launch()