Update app.py

app.py

@@ -1,15 +1,11 @@
 import gradio as gr
-from transformers import pipeline
 
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 
-def predict(image):
-  predictions = pipeline(image)
-  return {p["label"]: p["score"] for p in predictions}
+def greet(name):
+    return "Hello " + name + "!"
 
-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()
+
+interface = gr.Interface(greet, "text", "text")
+
+if __name__ == "__main__":
+    interface.launch()