update code format

app.py

@@ -15,6 +15,9 @@ 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")
 
+os.environ['OPENAI_API_KEY']
+openai.api_key = os.environ['OPENAI_API_KEY']
+
 def linguistic_features_fn(message):
     # Load a trained spaCy pipeline
     nlp = spacy.load("en_core_web_sm")
@@ -37,14 +40,11 @@ def linguistic_features_fn(message):
 
     return formatted_output
 
-os.environ['OPENAI_API_KEY']
-openai.api_key = os.environ['OPENAI_API_KEY']
-
 def chat(user_prompt, model = 'gpt-3.5-turbo', temperature = 0, verbose = False):
     ''' Normal call of OpenAI API '''
     response = openai.ChatCompletion.create(
     temperature = temperature,
-    model=model,
+    model = model,
     messages=[
         {"role": "user", "content": user_prompt}
     ])