update indentation

README.md

@@ -55,15 +55,15 @@ Here’s we define our image classification model prediction function in PyTorch
 <pre>
 <code>def predict(inp):
 
-  inp = Image.fromarray(inp.astype('uint8'), 'RGB')
+        inp = Image.fromarray(inp.astype('uint8'), 'RGB')
+      
+        inp = transforms.ToTensor()(inp).unsqueeze(0)
+      
+        with torch.no_grad():
 
-  inp = transforms.ToTensor()(inp).unsqueeze(0)
+          prediction = torch.nn.functional.softmax(model(inp)[0], dim=0)
 
-  with torch.no_grad():
-
-    prediction = torch.nn.functional.softmax(model(inp)[0], dim=0)
-
-  return {labels[i]: float(prediction[i]) for i in range(1000)}
+        return {labels[i]: float(prediction[i]) for i in range(1000)}
 </code>
 </pre>
 </p>