Use the open api to do the score

app.py

@@ -4,13 +4,10 @@ from threading import Thread
 import gradio as gr
 import spaces
 from PIL import Image
-from huggingface_hub import InferenceClient
+from openai import OpenAI
 import os
 
-client = InferenceClient(
-    "openai/gpt-4o-mini",  # or other models like "openai/gpt-4"
-    token=os.environ["OPENAI_API_KEY"]  # Your OpenAI API key
-)
+client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
 
 # from zipnn import zipnn_hf
 
@@ -58,13 +55,15 @@ def score_with_gpt(text):
             + "4. The words and phrases are appropriate for the context."
             + "5. Scale the score from 0 to 100."
             },
-        {"role": "user", "content": text}
+        {"role": "user", "content": f"{prompt}, The essay is: \"text \""}
     ]
 
-    return client.chat_completion(
+    return client.chat.completions.create(
+        model="gpt-4o-mini",  # or "gpt-3.5-turbo"
         messages=messages,
-        max_tokens=500
+        max_tokens=500,
     )
+    
 
 
 def score_it(input_img):

requirements.txt

@@ -2,4 +2,5 @@ torch==2.4.0
 transformers==4.46.2
 accelerate>=0.26.0
 zipnn==0.3.4
-huggingface_hub
+huggingface_hub
+openai