Update app.py

app.py

@@ -1,9 +1,10 @@
 import os
-import openai
+from openai import OpenAI
+
+client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
 import gradio as gr
 
 # Set OpenAI API key from environment variable
-openai.api_key = os.environ.get("OPENAI_API_KEY")
 
 # Function to generate customized career advice
 def generate_career_advice(field, position_name, current_qualifications, likes, skills):
@@ -14,7 +15,6 @@ def generate_career_advice(field, position_name, current_qualifications, likes,
     - Current Qualifications: {current_qualifications}
     - Likes: {likes}
     - Skills: {skills}
-
     Include:
     - Suitable career paths that are a good fit and in demand.
     - Additional qualifications, courses, training, or certifications to pursue.
@@ -23,15 +23,13 @@ def generate_career_advice(field, position_name, current_qualifications, likes,
 
     # Call the OpenAI API
     try:
-        response = openai.ChatCompletion.create(
-            model="gpt-4",  # Use "gpt-3.5-turbo" if desired
-            messages=[
-                {"role": "system", "content": "You are a helpful and knowledgeable career advisor."},
-                {"role": "user", "content": prompt},
-            ],
-            max_tokens=512,
-            temperature=0.7,
-        )
+        response = client.chat.completions.create(model="gpt-4",  # Use "gpt-3.5-turbo" if desired
+        messages=[
+            {"role": "system", "content": "You are a helpful and knowledgeable career advisor."},
+            {"role": "user", "content": prompt},
+        ],
+        max_tokens=512,
+        temperature=0.7)
         # Extract the response text
         career_advice = response.choices[0].message.content.strip()
     except Exception as e:
@@ -57,4 +55,3 @@ career_advice_app = gr.Interface(
 
 # Launch the application
 career_advice_app.launch(server_name="0.0.0.0", debug=True, share=True)
-