Update README.md

README.md

@@ -42,11 +42,11 @@ print(pipeline(sequences_example))
 
 ## Input
 
-An array of uppercase letters of amino acid residues, e.g. ["PRTEINO"]
+An array of uppercase letters of amino acid residues, e.g. `["PRTEINO"]`
 
 ## Output 
 
-A list of dictionaries. The keys of the dictonaries are: `entity`, `score`, `index`, `word`, `start`, `end`. `entity` is the predicted secondary structure, score is the confidence of the model about the prediction, `index` is the position of the residue in the sequence. `word` is the residue, which the prediction is made. `start` and `end` again idetify the position of the residue. Example for a single residue: [[{'entity': 'C', 'score': np.float32(0.9825784), 'index': 1, 'word': 'M', 'start': 0, 'end': 1}]].
+A list of dictionaries. The keys of the dictonaries are: `entity`, `score`, `index`, `word`, `start`, `end`. `entity` is the predicted secondary structure, score is the confidence of the model about the prediction, `index` is the position of the residue in the sequence. `word` is the residue, which the prediction is made. `start` and `end` again idetify the position of the residue. Example for a single residue: `[[{'entity': 'C', 'score': np.float32(0.9825784), 'index': 1, 'word': 'M', 'start': 0, 'end': 1}]]`.
 
 ## Copyright