Updates for Python 3.12 and latest openai library

requirements.txt

@@ -1,6 +1,6 @@
 numpy
-openai==0.27.8
-pynput==1.7.6
-python-dotenv==1.0.0
-scipy==1.8.0
-sounddevice==0.4.6
+openai==2.7.2
+pynput==1.8.1
+python-dotenv==1.2.1
+scipy==1.16.3
+sounddevice==0.5.3

wkey/whisper.py

@@ -1,11 +1,12 @@
 import os
 
 from dotenv import load_dotenv
-import openai
+from openai import OpenAI
+
+client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
 
 load_dotenv()
 WHISPER_MODEL = "whisper-1"
-openai.api_key = os.environ["OPENAI_API_KEY"]
 
 
 def apply_whisper(filepath: str, mode: str) -> str:
@@ -14,13 +15,13 @@ def apply_whisper(filepath: str, mode: str) -> str:
         raise ValueError(f"Invalid mode: {mode}")
 
     prompt = "Hello, this is a properly structured message. GPT, ChatGPT."
-    
+
     with open(filepath, "rb") as audio_file:
         if mode == "translate":
-            response = openai.Audio.translate(WHISPER_MODEL, audio_file, prompt=prompt)
+            response = client.audio.translations.create(model=WHISPER_MODEL, file=audio_file, prompt=prompt)
         elif mode == "transcribe":
-            response = openai.Audio.transcribe(WHISPER_MODEL, audio_file, prompt=prompt)
+            response = client.audio.transcriptions.create(model=WHISPER_MODEL, file=audio_file, prompt=prompt)
 
-    transcript = response["text"]
+    transcript = response.text
     return transcript
 

wkey/wkey.py

@@ -30,7 +30,7 @@
 def on_press(key):
     global recording
     global audio_data
-    
+
     if key == RECORD_KEY:
         recording = True
         audio_data = []
@@ -39,26 +39,26 @@ def on_press(key):
 def on_release(key):
     global recording
     global audio_data
-    
+
     if key == RECORD_KEY:
         recording = False
         print("Transcribing...")
-        
+
         try:
             audio_data_np = np.concatenate(audio_data, axis=0)
         except ValueError as e:
             print(e)
             return
-        
+
         audio_data_int16 = (audio_data_np * np.iinfo(np.int16).max).astype(np.int16)
         wavfile.write('recording.wav', sample_rate, audio_data_int16)
 
         transcript = None
         try:
             transcript = apply_whisper('recording.wav', 'transcribe')
-        except openai.error.InvalidRequestError as e:
+        except openai.BadRequestError as e:
             print(e)
-        
+
         if transcript:
             processed_transcript = process_transcript(transcript)
             print(processed_transcript)