Update app.py

app.py

@@ -1,6 +1,6 @@
 import streamlit as st
 from streamlit_mic_recorder import mic_recorder
-import openai
+from openai import OpenAI
 import json
 from pathlib import Path
 from datetime import datetime
@@ -9,7 +9,7 @@ from dotenv import load_dotenv
 
 # Load OpenAI API key
 load_dotenv()
-openai.api_key = os.getenv("OPENAI_API_KEY")
+client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
 
 # Initialize session state
 if 'tasks' not in st.session_state:
@@ -29,18 +29,22 @@ voice_note = mic_recorder(start_prompt="🎤 Add Task", stop_prompt="⏹️ Stop
 # Process voice input
 if voice_note and 'bytes' in voice_note:
     try:
+        # Save the recorded audio to a temporary file
         audio_file = open("temp_audio.wav", "wb")
         audio_file.write(voice_note['bytes'])
         audio_file.close()
         
         # Transcribe using OpenAI Whisper
-        audio_file = open("temp_audio.wav", "rb")
-        transcript = openai.Audio.transcribe("whisper-1", audio_file)
+        with open("temp_audio.wav", "rb") as audio_file:
+            transcript = client.audio.transcriptions.create(
+                model="whisper-1",
+                file=audio_file
+            )
         
         # Add transcribed task to current day
-        if transcript['text']:
-            st.session_state.tasks[current_day].append({'text': transcript['text'], 'checked': False})
-            st.sidebar.success(f"Added: {transcript['text']}")
+        if transcript.text:
+            st.session_state.tasks[current_day].append({'text': transcript.text, 'checked': False})
+            st.sidebar.success(f"Added: {transcript.text}")
     except Exception as e:
         st.sidebar.error(f"Error: {str(e)}")