Create app.py

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+from transformers import pipeline
+
+classifier = pipeline(
+    "image-classification",
+    model="google/vit-base-patch16-224"
+)
+
+def classify_image(image):
+    results = classifier(image)
+
+    output = ""
+    for item in results[:5]:
+        output += f"{item['label']} : {item['score']:.2%}\n"
+
+    return output
+
+demo = gr.Interface(
+    fn=classify_image,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Textbox(label="Classification Results"),
+    title="Image Classification App",
+    description="Upload an image and let AI identify what it contains."
+)
+
+demo.launch()