Update app.py

app.py

@@ -1,31 +1,30 @@
 import os
-import openai  # 🍕 https://www.google.com/search?q=openai.ChatCompletion.create
-import gradio as gr  # 🍣 https://www.google.com/search?q=Gradio+python
+from openai import OpenAI  # new client entrypoint
+import gradio as gr
 import requests
 import pandas as pd
 
 # --- Configuration ---
-openai.api_key = os.getenv("OPENAI_API_KEY")  # 🍱 https://www.google.com/search?q=python+environment+variables
+# In your Space settings, add OPENAI_API_KEY as a Secret; the client reads it automatically.
 API_URL = "https://agents-course-unit4-scoring.hf.space"
-MODEL_NAME = "gpt-4.1"  # 🍜 https://www.google.com/search?q=gpt-4.1+openai+model+id
+MODEL_NAME = "gpt-4.1"
 
-# --- ChatGPT-4.1 Caller ---
+# --- OpenAI Client ---
+client = OpenAI()  # reads OPENAI_API_KEY from env
+
+# --- GPT-4.1 Caller ---
 def ask_chatgpt_4_1(question: str) -> str:
-    response = openai.ChatCompletion.create(
+    response = client.responses.create(
         model=MODEL_NAME,
-        messages=[
-            {"role": "system", "content": "You are a helpful assistant."},
-            {"role": "user",   "content": question}
-        ],
-        temperature=0.7,
-        max_tokens=1500
+        input=question
     )
-    return response.choices[0].message.content
+    # The new library returns `output_text`
+    return response.output_text
 
 # --- Agent Class ---
 class BasicAgent:
     def __init__(self):
-        print("BasicAgent using OpenAI GPT-4.1 ready.")
+        print("BasicAgent using OpenAI GPT-4.1 (new client) ready.")
 
     def __call__(self, question: str) -> str:
         print(f"Q>> {question}")