changed app to use cloudds

app.py

@@ -1,8 +1,36 @@
+from fastai.vision import *
 import gradio as gr
+from pathlib import Path
 
-def greet(name):
-   return "Hello " + name + "!!"
+learn = load_learner('cloudmodel.pk1')
+
+categories = (
+  'Cirrus', 
+  'Cirrostratus',
+  'Cirrocumulus',
+  'Altostratus',
+  'Altocumulus',
+  'Stratus',
+  'Stratocumulus',
+  'Nimbostratus',
+  'Cumulus',
+  'Cumulonimbus',
+  'Lenticular'
+)
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+image_path = Path('images')
+examples = [image_path / f"{c}.jpg" for c in categories]
+
+def classify_image(img):
+   pred,idx,probs = learn.predict(img)
+   return dict(zip(categories, map(float, probs)))
+
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, 
+   examples=examples)
+
+# iface.launch()
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()