Create app.py

app.py

@@ -0,0 +1,23 @@
+from fastai.vision.all import *
+import gradio as gr
+
+def label_func(fname):
+    if int(str(fname)[str(fname).index('_')+1]) == 0:
+        return "Male"
+    return "Female"
+
+learn = load_learner('gender.pkl')
+
+categories = ('Female', 'Male')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['Male.jpg', 'Female.jpg']
+
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+iface.launch()