Upload 4 files

.gitattributes

@@ -32,3 +32,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+civil.jpg filter=lfs diff=lfs merge=lfs -text
+fighter.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -1,7 +1,23 @@
+
+__all__=['is_fighter', 'learn','classify_image','catergories','image','label','examples','intf']
+
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_fighter(x): return x[0].isupper()
+
+learn=load_learner('plane.pkl')
+
+categories=('fighter jet','cargo airplane','civil airplane')
+
+def classify_image(img):
+    ored,idx,probs = learn.predict(img)
+    return dict (zip(categories, map(float,probs)))
+
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples= ['fighter.jpg','cargo.jpg','civil.jpg']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch(share=True)
+intf = gr.interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
+intf.launch(inline=False)