new model

app.py

@@ -1,7 +1,18 @@
+from fastai.vision.all import *
+from fastai.data.external import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('lung.pk1')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+categories = ('ACA', 'Benign', 'SCC')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(768, 768))
+label = gr.outputs.Label()
+examples = ['lungaca.jpeg', 'lungn.jpeg', 'lungscc.jpeg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)