Added app.py

app.py

@@ -1,7 +1,25 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def is_holdingweapon(x):
+    return parent_label(x)
+
+
+learn = load_learner('weapon_finder_model.pkl')
+
+
+categories = ('Human holding Weapon','Weapon')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))   #float because gradio doesnt take tensors
+
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+
+examples = ['human_weapon1.jpg','weapon22.jpg']
+
+intf = gr.Interface(fn = classify_image,inputs = image,outputs=label,examples=examples)
+intf.launch(inline = False)