Update app.py

app.py

@@ -1,26 +1,26 @@
-import gradio as gr
-from transformers import pipeline
-
-# Load a simple image classification model
-classifier = pipeline("image-classification", model="google/vit-base-patch16-224")
-
-def classify_image(image):
-    # Run prediction
-    results = classifier(image)
-    # Get top label and confidence
-    top_result = results[0]
-    label = top_result["label"]
-    score = round(top_result["score"] * 100, 2)
-    return f"{label} ({score}%)"
-
-# Simple Gradio UI
-demo = gr.Interface(
-    fn=classify_image,
-    inputs=gr.Image(type="pil"),
-    outputs="text",
-    title="🖼️ Simple Image Classifier",
-    description="Upload an image and I'll tell you what it is!"
-)
-
-if __name__ == "__main__":
+import gradio as gr
+from transformers import pipeline
+
+# Load a simple image classification model
+classifier = pipeline("image-classification", model="google/vit-base-patch16-224")
+
+def classify_image(image):
+    # Run prediction
+    results = classifier(image)
+    # Get top label and confidence
+    top_result = results[0]
+    label = top_result["label"]
+    score = round(top_result["score"] * 100, 2)
+    return f"{label} ({score}%)"
+
+# Simple Gradio UI
+demo = gr.Interface(
+    fn=classify_image,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="🖼️ Simple Image Classifier",
+    description="what is this food"
+)
+
+if __name__ == "__main__":
     demo.launch()