update

app.py

@@ -2,7 +2,8 @@
 import whisper
 import gradio as gr
 import time
-from pyChatGPT import ChatGPT
+# from pyChatGPT import ChatGPT
+import openai
 import warnings
 
 """Variables"""
@@ -38,11 +39,18 @@ def transcribe(audio):
     result_text = 'How is Michael Jordan?'  # result.text
 
     # Pass the generated text to audio
-    chatgpt_api = ChatGPT(secret_token)
-    resp = chatgpt_api.send_message(result_text)
-    out_result = resp['message']
-
-    return [result_text, out_result]
+    # chatgpt_api = ChatGPT(secret_token)
+    # resp = chatgpt_api.send_message(result_text)
+    # out_result = resp['message']
+
+    openai.api_key = secret_token
+    response = openai.Completion.create(
+        engine="text-davinci-003",
+        prompt=result_text,
+        max_tokens=1024
+    )
+    result = response["choices"][0]["text"]
+    return [result_text, result]
 
 
 """Gradio Interface"""

requirements.txt

@@ -1,5 +1,6 @@
 git+https://github.com/openai/whisper.git
 gradio
+openai
 pyChatGPT
 PyVirtualDisplay
 transformers