Add application file

app.py

@@ -4,13 +4,15 @@ from transformers import pipeline
 pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 
 def predict(input_img):
+    a = []
+
     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 hot girl candidate", sources=['upload', 'webcam'], type="pil"),
-    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
+    inputs=gr.Image(label="Select hot girl candidate", sources=['upload'], type="pil"),
+    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=1)],
     title="Hot Girl? Or Not?",
 )