add pre tags

README.md

@@ -49,6 +49,7 @@ All you need to do is to run this in the terminal: <code>pip install gradio</cod
 Here’s we define our image classification model prediction function in PyTorch (any framework, like TensorFlow, scikit-learn, JAX, or a plain Python will work as well):
 <pre>
 <code>
+  <pre>
   def predict(inp):
 
     inp = Image.fromarray(inp.astype('uint8'), 'RGB')
@@ -60,6 +61,7 @@ Here’s we define our image classification model prediction function in PyTorch
       prediction = torch.nn.functional.softmax(model(inp)[0], dim=0)
   
     return {labels[i]: float(prediction[i]) for i in range(1000)}
+    </pre>
 </code>
 </pre>
 </p>