Update app.py

app.py

@@ -1,20 +1,19 @@
-import gradio as gr
-from transformers import pipeline 
+iimport gradio as gr
+from transformers import pipeline
 
-pipeline = pipeline(task="image-classification",model="julien-c/hotdog-not-hotdog")
+pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 
-def predict(input_img): 
-    prediction = pipeline(input_img)
-    return input_img, {p["lable"]: p["score"] for p in prediction}
+def predict(input_img):
+    predictions = pipeline(input_img)
+    return input_img, {p["label"]: p["score"] for p in predictions} 
 
-gradio_app = gr.interface(
+gradio_app = gr.Interface(
     predict,
-    input=gr.image(label="Select hot dog candidate", source="['upload', 'webcam']", type="pil"),
-    outputs=[gr.image(label="Processed Image"), gr.label="Result",num_top_classes=2],
-    title="Hot dog? Or Not",
-
+    inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),
+    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
+    title="Hot Dog? Or Not?",
 )
 
-if__name__=="__main__":
-   gradio_app,launch()
+if __name__ == "__main__":
+    gradio_app.launch()