Azure AI implementation

app.py

@@ -11,10 +11,10 @@ from sendgrid.helpers.mail import Mail, Attachment, FileContent, FileName, FileT
 import base64
 from azure.cosmos import CosmosClient, exceptions
 
-#openai.api_key = os.getenv("OPENAI_API_KEY")
-#openai.api_base = "https://tensora-oai.openai.azure.com/"
-#openai.api_type = "azure"
-#openai.api_version = "2023-05-15"
+openai.api_key = os.getenv("OPENAI_API_KEY")
+openai.api_base = "https://tensora-oai.openai.azure.com/"
+openai.api_type = "azure"
+openai.api_version = "2023-05-15"
 os_connection_string = os.getenv("CONNECTION")
 os_mail_password = os.getenv("MAIL_PASSWORD")
 
@@ -231,7 +231,7 @@ def bot(history, job, resume, job_params):
             messages.append({"role": "assistant", "content": assistant})
 
     response = openai.ChatCompletion.create(
-        model="gpt-4",
+        enigne="gpt-4",
         messages=messages,
         temperature=0.0,
         stream=True,
@@ -239,7 +239,7 @@ def bot(history, job, resume, job_params):
 
     history[-1][1] = ""
     for chunk in response:
-        if len(chunk["choices"][0]["delta"]) != 0:
+        if len(chunk["choices"][0]["delta"]) != 0 and hasattr(chunk["choices"][0]["delta"], "content"):
             history[-1][1] = history[-1][1] + chunk["choices"][0]["delta"]["content"]
             yield history
     if history[-1][1] == "Thank you for conducting the evaluation! We will get back to you shortly.":
@@ -268,7 +268,7 @@ def send_evaluation(history, job, resume, job_params):
     prompt = "You are a professional recruiter who has been given a CV and a job description and has created questions based on that. The eventual applicant has entered his answers to the questions. Now you have to evaluate on the basis of the answers if the applicant fits the job in principle. This is the case when about 70 percent of all questions have been answered satisfactorily and positively. Keep in mind that an answer must always be fact-based, so if, for example, the question asks for examples, the potential applicant must also give such examples. Please also provide details of which questions were answered positively and why."
 
     res = openai.ChatCompletion.create(
-        model="gpt-4",
+        engine="gpt-4",
         temperature=0.2,
         messages=[
             {