update

app.py

@@ -5,7 +5,7 @@ from openai import AzureOpenAI
 from model import invoke, create_models, configure_settings, load_documents_and_create_index, \
     create_chat_prompt_template, execute_query
 
-client = AzureOpenAI(azure_endpoint = os.environ.get("AZURE_OPENAI_ENDPOINT_RAG"),api_key=os.environ.get("AZURE_OPENAI_KEY"),  api_version="2024-02-15")
+client = AzureOpenAI(azure_endpoint = "https://personalityanalysisfinetuning.openai.azure.com/",api_key=os.environ.get("AZURE_OPENAI_KEY"),  api_version="2024-02-01")
 
 
 example_profile = {
@@ -52,18 +52,18 @@ example_profile = {
                          'Years_in_comparable_role': 8}}
 
 # Function to generate a completion using OpenAI API
-def generate_one_completion(message, temperature):
-    response = client.chat.completions.create(
-        model="personality_gpt4o",
-        temperature=temperature,
-        max_tokens=1000,  # Adjust based on desired response length
-        frequency_penalty=0.2,  # To avoid repetition
-        presence_penalty=0.2,  # To introduce new topics
-        messages= message,
-        stream=False
-    )
-
-    return response
+# def generate_one_completion(message, temperature):
+#     response = client.chat.completions.create(
+#         model="personality_gpt4o",
+#         temperature=temperature,
+#         max_tokens=1000,  # Adjust based on desired response length
+#         frequency_penalty=0.2,  # To avoid repetition
+#         presence_penalty=0.2,  # To introduce new topics
+#         messages= message,
+#         stream=False
+#     )
+#
+#     return response
 
 import json
 
@@ -161,7 +161,7 @@ def main_app():
 
             with st.chat_message("assistant"):
                 stream = client.chat.completions.create(
-                model="personality_gpt4",
+                model="personality_gpt4o",
                 temperature=st.session_state['temperature'],
                 max_tokens=1000,  # Adjust based on desired response length
                 frequency_penalty=0.2,  # To avoid repetition