Update app.py

app.py

@@ -1,6 +1,5 @@
 import gradio as gr
 from transformers import pipeline
-from pathlib import Path
 
 pipeline = pipeline(task="image-classification", model="acidtib/tcg-magic-cards")
 
@@ -10,10 +9,9 @@ def predict(input_img):
 
 gradio_app = gr.Interface(
     predict,
-    inputs=gr.Image(label="Select Magic Card", type="pil"),
-    outputs=gr.Label(label="Result", num_top_classes=2),
-    title="TCG Magic Classifier",
-    description='This classifier returns the id of cards from scryfall!, try one of the samples below'
+    inputs=gr.Image(label="Select Magic Card", sources=['upload', 'webcam'], type="pil"),
+    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
+    title="Magic Card",
 )
 
 if __name__ == "__main__":