Update app.py

app.py

@@ -5,6 +5,7 @@ import whisper
 from gtts import gTTS
 import subprocess
 import openai
+from openai import OpenAI
 
 # Use writable cache for Hugging Face
 os.environ["XDG_CACHE_HOME"] = "/tmp/.cache"
@@ -43,9 +44,12 @@ def convert_to_wav(input_file):
     return output_wav
 
 # Call GPT to analyze transcript
+client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+
 def generate_feedback_with_llm(transcript):
     prompt = PROMPT_TEMPLATE.format(transcript=transcript.strip())
-    response = openai.ChatCompletion.create(
+
+    response = client.chat.completions.create(
         model="gpt-3.5-turbo",
         temperature=0.7,
         messages=[
@@ -53,7 +57,9 @@ def generate_feedback_with_llm(transcript):
             {"role": "user", "content": prompt}
         ]
     )
-    return response.choices[0].message["content"]
+
+    return response.choices[0].message.content
+
 
 # Main function
 def tutor_feedback(audio_file):