Create app.py

app.py

@@ -0,0 +1,14 @@
+import gradio as gr
+from transformers import pipeline
+from PIL import Image
+
+classifier = pipeline("image-classification", model="microsoft/resnet-50")
+
+def classify(image):
+    results = classifier(image)
+    top = results[0]
+    label = top['label']
+    score = round(top['score'] * 100, 2)
+    return f"{label} ({score}%)"
+
+gr.Interface(fn=classify, inputs=gr.Image(type="pil"), outputs="text", title="Cat Classifier").launch()