Update app.py

app.py

@@ -1,16 +1,15 @@
-import streamlit as st
+import gradio as gr
 from transformers import pipeline
 
-sentiment_pipeline = pipeline("sentiment-analysis")
+pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 
-st.title("Sentiment Analysis with HuggingFace Spaces")
-st.write("Enter a sentence to analyze its sentiment:")
+def predict(image):
+    predictions = pipeline(image)
+    return {p["label"]: p["score"] for p in predictions}
 
-user_input = st.text_input("")
-if user_input:
-    result = sentiment_pipeline(user_input)
-    sentiment = result[0]["label"]
-    confidence = result[0]["score"]
-
-    st.write(f"Sentiment: {sentiment}")
-    st.write(f"Confidence: {confidence:.2f}")
+gr.Interface(
+    predict,
+    inputs=gr.Image(label="Upload hot dog candidate", type="filepath"),
+    outputs=gr.Label(num_top_classes=2),
+    title="Hot Dog? Or Not?",
+).launch()