Update app.py

app.py

@@ -5,12 +5,13 @@ LANGUAGES = list(CoquiTTS.langs.keys())
 default_lang = "en"
 
 # ChatGPT
-from pyChatGPT import ChatGPT
+#from pyChatGPT import ChatGPT
 #import whisper
 #whisper_model = whisper.load_model("small")
 whisper = gr.Interface.load(name="spaces/sanchit-gandhi/whisper-large-v2")
 import os
-session_token = os.environ.get('SessionToken') 
+#session_token = os.environ.get('SessionToken') 
+api = os.environ.get('API_ENDPOINT')
 
 title = "Speech to ChatGPT to Speech"
 #info = "more info at [Neon Coqui TTS Plugin](https://github.com/NeonGeckoCom/neon-tts-plugin-coqui), [Coqui TTS](https://github.com/coqui-ai/TTS)"
@@ -18,26 +19,41 @@ title = "Speech to ChatGPT to Speech"
 
 coquiTTS = CoquiTTS()
 
+def call_api(message):
+    response = requests.get(f'{api}?q={message}')
+    if response.status_code == 200:
+        
+        return str(response.text).split('\n', 2)[2]
+    else:
+        return """Sorry, I'm quite busy right now, but please try again later :)"""
 
+        
 # ChatGPT
 def chat_hf(audio, custom_token, language):
     try:
         whisper_text = translate(audio)
-        api = ChatGPT(session_token) 
-        resp = api.send_message(whisper_text)
+        if whisper_text == "ERROR: You have to either use the microphone or upload an audio file":
+            gpt_response = "MISSING AUDIO: Record your voice by clicking the microphone button, do not forget to stop recording before sending your message ;)"
+        else:
+            gpt_response = call_api(whisper_text)
+        #whisper_text = translate(audio)
+        #api = ChatGPT(session_token) 
+        #resp = api.send_message(whisper_text)
         
-        api.refresh_auth()  # refresh the authorization token
-        api.reset_conversation()  # reset the conversation
-        gpt_response = resp['message']
+        #api.refresh_auth()  # refresh the authorization token
+        #api.reset_conversation()  # reset the conversation
+        #gpt_response = resp['message']
 
     except:
         whisper_text = translate(audio)
-        api = ChatGPT(custom_token) 
-        resp = api.send_message(whisper_text)
+        gpt_response = """Sorry, I'm quite busy right now, but please try again later :)"""
+        #whisper_text = translate(audio)
+        #api = ChatGPT(custom_token) 
+        #resp = api.send_message(whisper_text)
         
-        api.refresh_auth()  # refresh the authorization token
-        api.reset_conversation()  # reset the conversation
-        gpt_response = resp['message']
+        #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: