removed unnecessary code

app.py

@@ -14,30 +14,6 @@ vicuna_model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-7b-v1.3")
 llama_tokenizer = AutoTokenizer.from_pretrained("daryl149/llama-2-7b-chat-hf")
 llama_model = AutoModelForCausalLM.from_pretrained("daryl149/llama-2-7b-chat-hf")
 
-template_single = '''Please output any <{}> in the following sentence one per line without any additional text: "{}"'''
-
-# def linguistic_features(message):
-#     # Load a trained spaCy pipeline
-#     nlp = spacy.load("en_core_web_sm")
-
-#     # Create a spaCy doc object
-#     doc = nlp(message)
-
-#     # Initiate LFTK extractor by passing in the doc
-#     LFTK_extractor = lftk.Extractor(docs=doc)
-
-#     # Customize LFTK extractor (optional)
-#     LFTK_extractor.customize(stop_words=True, punctuations=False, round_decimal=3)
-
-#     # Use LFTK to dynamically extract handcrafted linguistic features
-#     features_to_extract = lftk.search_features(family="wordsent", language="general", return_format="list_key")
-#     extracted_features = LFTK_extractor.extract(features=features_to_extract)
-
-#     print('Linguistic Features:', extracted_features)
-
-#     return extracted_features
-
-
 def update_api_key(new_key):
     global api_key
     os.environ['OPENAI_API_TOKEN'] = new_key