Create app.py

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from transformers import pipeline
+
+pipe = pipeline(task="image-classification", model="SuperSecureHuman/Flower-CNN")
+
+class_names = ['daisy', 'dandelion', 'roses', 'sunflowers', 'tulips']
+
+image = gr.inputs.Image(shape=(300,300))
+
+label = gr.outputs.Label(num_top_classes=5)
+
+gr.Interface.from_pipeline(pipe, 
+                           title="Flower Classification",
+                           description="Flower CNN",
+                           inputs = image,
+                           outputs = label,
+                           live=True,
+                           allow_flagging="never").launch()