Update app.py

app.py

@@ -9,22 +9,48 @@ prompt = "Type and press Enter"
 
 
 def record_text(audio_file,api_key):
-    # model_id = 'whisper-1'
-    # media_file = open(audio_file, 'rb')
-    # response = openai.Audio.transcribe(
-    # api_key=api_key,
-    # model=model_id,
-    # file=media_file
-    # )
+    # headers = {
+    #     "Content-Type": "application/json",
+    #     "Authorization": f"Bearer {api_key}"
+    # }
+    # payload = {
+    #     "model": "whisper-1",
+    #     "messages": [
+    #         {
+    #             "role": "user",
+    #             "content": [
+    #                 {
+    #                     "type": "text",
+    #                     "text": prompt
+    #                 },
+    #                 {
+    #                     "type": "text",
+    #                     "text": audio_text
+    #                 }
+    #             ]
+    #         }
+    #     ],
+    #     "max_tokens": 1000
+    # }
+    # response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload)
+    # audio_text_res = response.json()
     # return response.data['text']
-    
-    response = openai.audio.transcriptions.create({
-        model: 'whisper-1',
-        api_key: f"Bearer {api_key}",
-        file: fs.createReadStream(audio_file),
-    });
+    model_id = 'whisper-1'
+    media_file = open(audio_file, 'rb')
+    response = openai.Audio.transcribe(
+    api_key=api_key,
+    model=model_id,
+    file=media_file
+    )
     return response.data['text']
     
+    # response = openai.audio.transcriptions.create({
+    #     model: 'whisper-1',
+    #     api_key: f"Bearer {api_key}",
+    #     file: fs.createReadStream(audio_file),
+    # });
+    # return response.data['text']
+    
     # sound = audio_file
     # sound_type = sound.split(".")
     # if sound_type[-1] == 'mp3':