Update app.py

app.py

@@ -7,7 +7,7 @@ import telnetlib
 #import whisper
 #whisper_model = whisper.load_model("small")
 whisper = gr.Interface.load(name="spaces/sanchit-gandhi/whisper-large-v2")
-#chatgpt = gr.Blocks.load(name="spaces/fffiloni/whisper-to-chatGPT")
+chatgpt = gr.Blocks.load(name="spaces/fffiloni/whisper-to-chatGPT")
 import os
 import json
 session_token = os.environ.get('SessionToken')
@@ -91,10 +91,11 @@ async def chat_gpt_ask(prompt):
 
 # ChatGPT
 def chat_hf(audio, custom_token, language):
-    #output = chatgpt(audio, "transcribe", fn_index=0)
-    #whisper_text, gpt_response = output[0], output[1]
-    whisper_text = translate(audio)
-    gpt_response = asyncio.run(async_main(whisper_text))
+    output = chatgpt(audio, "transcribe", fn_index=0)
+    whisper_text, gpt_response = output[0], output[1]
+    #whisper_text = translate(audio)
+    #gpt_response = asyncio.run(async_main(whisper_text))
+    '''
     try:
         whisper_text = translate(audio)
         if whisper_text == "ERROR: You have to either use the microphone or upload an audio file":
@@ -137,7 +138,7 @@ def chat_hf(audio, custom_token, language):
         #api.refresh_auth()  # refresh the authorization token
         #api.reset_conversation()  # reset the conversation
         #gpt_response = resp['message']
-    
+    '''
     # to voice
     with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
         coquiTTS.get_tts(gpt_response, fp, speaker = {"language" : language})