Update README.md

README.md

@@ -55,10 +55,10 @@ In each subplot:
 
   
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-#### Domain-Specific ASR/NLP. 
-
-#### freqs = (theta / 220.0) * 700 * (torch.pow(10, torch.linspace(0, 2595 * torch.log10(torch.tensor(1 + 8000/700)), dim // 2, device=device, dtype=dtype) / 2595) - 1) / 1000
+```python
 
+ freqs = (theta / 220.0) * 700 * (torch.pow(10, torch.linspace(0, 2595 * torch.log10(torch.tensor(1 + 8000/700)), dim // 2, device=device, dtype=dtype) / 2595) - 1) / 1000
+```
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 The patterns below show how positions "see" each other in relation to theta and f0.