Update app.py

app.py

@@ -1,9 +1,18 @@
-import numpy as np
 import gradio as gr
+from transformers import pipeline
 
-def reverse_audio(audio):
-    sr, data = audio
-    return (sr, np.flipud(data))
+pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 
-mic = gr.Audio(source="microphone", type="numpy", label="Speak here...")
-gr.Interface(reverse_audio, mic, "audio", css=".footer{display:none !important}").launch()
+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 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()