Create app.py

app.py

@@ -0,0 +1,16 @@
+from fastai.vision.all import *
+learn=load_learner('model.pkl')
+def input_img(img):
+    race,_,probs = learn.predict(PILImage.create('img'))
+    processed_output=(f"This is a: {race}./nProbability it's a black person: {probs[0]:.4f}.\nProbability it's a white person: {probs[1]:.4f}")
+    return processed_output
+
+categories=('Black people','White people')
+def func_classi(img):
+  pred,idx,probs=learn.predict(img)
+  return dict(zip(categories,map(float,probs)))
+import gradio as gr
+
+examples=('Black people','White people')
+demo = gr.Interface(fn=func_classi, inputs=[gr.Webcam()], outputs=[gr.Textbook(label="Results")])
+demo.launch(inline=False)