Update app.py

app.py

@@ -1,9 +1,15 @@
-import streamlit as st
-from transformer import pipeline
+import gradio as gr
+from transformers import pipeline
 
-pip = pipeline("sentiment-analysis")
-text=st.text_area("enter some text")
+pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 
-if text:
-    out = pipe(text)
-    st.json(out)
+def predict(image):
+    predictions = pipeline(image)
+    return {p["label"]: p["score"] for p in predictions}
+
+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()