Upload app.py

app.py

@@ -1,7 +1,18 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# model
+learn = load_learner("face_mask_detection_model.pkl")
+labels = {"Wearing Mask", "No Mask"}
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(labels, map(float, probs)))
+
+# gradio interface
+image = gr.inputs.Image(shape=(224,224))
+label = gr.outputs.Label()
+examples = ["example.jpg"]
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)