Update README.md

README.md

@@ -66,29 +66,29 @@ import nemo.collections.asr as nemo_asr
 asr_model = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.from_pretrained(model_name="ogunlao/SBPN_multilingual_base")
 ```
 
-    ### Transcribing using Python
-    First, let's get a sample
-    ```
-    audio_path = "audio_sample_in_pidgin_english.wav"
-    ```
-    Then simply do:
-    ```
-    output = asr_model.transcribe([audio_path])
-    ```
-
-    Remove the language tag
-    ```
-    prediction = output[0].text
-    prediction = re.sub(r'<.*?>', '', prediction)
-
-    ```
-
-    ### For language identification
-    Take the prediction and get the first token
-    ```
-    prediction = output[0].text
-    language_id = prediction.split()[0]
-    ```
+### Transcribing using Python
+First, let's get a sample
+```python
+audio_path = "audio_sample_in_pidgin_english.wav"
+```
+Then simply do:
+```python
+output = asr_model.transcribe([audio_path])
+```
+
+Remove the language tag
+```python
+prediction = output[0].text
+prediction = re.sub(r'<.*?>', '', prediction)
+
+```
+
+### For language identification
+Take the prediction and get the first token
+```python
+prediction = output[0].text
+language_id = prediction.split()[0]
+```
 ### Input
 
 This model accepts 16000 Hz mono-channel audio (wav files) as input.