Update app.py

app.py

@@ -1,19 +1,21 @@
 import gradio as gr
 from transformers import pipeline
+from pathlib import Path
 
 pipeline = pipeline(task="image-classification", model="acidtib/tcg-magic-cards")
 
+sample_img_paths = [str(p) for p in Path('./samples').glob('*.png')]
+
 def predict(input_img):
     predictions = pipeline(input_img)
     return input_img, {p["label"]: p["score"] for p in predictions} 
-
 gradio_app = gr.Interface(
     predict,
-    inputs=gr.Image(label="Select Magic Card", sources=['upload', 'webcam'], type="pil"),
+    inputs=gr.inputs.Image(label="Select Magic Card", type="pil"),
     outputs=gr.Label(label="Result", num_top_classes=2),
+    examples=sample_img_paths,
     title="TCG Magic Classifier",
-    description='This classifier returns the id of cards from scryfall!'
+    description='This classifier returns the id of cards from scryfall!, try one of the samples below'
 )
 
-if __name__ == "__main__":
-    gradio_app.launch()
+if __name__ == "__main__":