Update app.py

app.py

@@ -1,16 +1,15 @@
 import gradio as gr
-
 from transformers import pipeline
 
-pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es")
-
-def predict(text):
-  return pipe(text)[0]["translation_text"]
+pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 
-demo = gr.Interface(
-  fn=predict,
-  inputs='text',
-  outputs='text',
-)
+def predict(image):
+    predictions = pipeline(image)
+    return {p["label"]: p["score"] for p in predictions}
 
-demo.launch()
+gr.Interface(
+    predict,
+    inputs=gr.inputs.Image(label="Upload hot dog candidate", type="filepath"),
+    outputs=gr.outputs.Label(num_top_classes=2),
+    title="Hot Dog? Or Not?",
+).launch()