add syntax highlighting to README

README.md

@@ -21,18 +21,17 @@ To calculate the pseudo-perplexities, any huggingface model from the BERT family
 ### Getting Started
 
 To calcualte the pseudo-perplexity per word, run:
-```
+```bash
 # Installing the dependencies
->>> pip install transformers, tqdm
-
->>> python3 compute_pppl.py -m your-model-name -i path/to/your/data -o path/to/output/directory --window-size 11
+pip install transformers, tqdm
 
+python3 compute_pppl.py -m your-model-name -i path/to/your/data -o path/to/output/directory --window-size 11
 
 ```
 
 As input, the script expects a json file with the following structure: 
 
-```
+```json
 [
     {
         "page_id": "ocr_27812752_p1.json",
@@ -54,7 +53,7 @@ As input, the script expects a json file with the following structure:
 
 The output are json files containing the pseudo-perplexity scores:
 
-```
+```json
 [
     {
         "page_id": "ocr_27812752_p1.json",
@@ -85,18 +84,18 @@ To calculate the pseudo-perplexity per sentence, we use the [Language Model Perp
 
 Install the Language Model Perplexity (LM-PPL) repository:
 
-```
->>> pip install lmppl 
+```bash
+pip install lmppl 
 ```
 
 To use the repositroy, run: 
 
-```
->>> python3 run_lmppl.py -m your-model-name -i path/to/your/data -o path/to/output/directory
+```bash
+python3 run_lmppl.py -m your-model-name -i path/to/your/data -o path/to/output/directory
 ```
 
 As input, the script expects a json file with the following structure: 
-```
+```json
 [
     {
         "sent_id": "ocr_26843985_p4_6",
@@ -117,7 +116,7 @@ As input, the script expects a json file with the following structure:
 
 The output are json files containing the pseudo-perplexity scores:
 
-```
+```json
 [
     {
         "sent_id": "ocr_26843985_p4_6",