depp learnign model

app.py

@@ -1,7 +1,24 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('export.pkl')
+categories = ('dragon fruit', 'Lemon', 'Orange', 'yellow apple', 'red apple', 'green apple')
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+image = gr.inputs.Image(shape = (256, 256))
+label = gr.outputs.Label()
+examples = ['apple.jpeg']
+
+intf = gr.Interface(fn = classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch()
+
+
+
+
+# def greet(name):
+#     return "Hello " + name + "!!"
+
+# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+# iface.launch()