Update app.py

app.py

@@ -117,6 +117,7 @@ def gpt_predict(inputs, request:gr.Request=gr.State([]), top_p = 1, temperature
 
     try:
         # make a POST request to the API endpoint using the requests.post method, passing in stream=True
+        print('in the try')
         response = requests.post(API_URL, headers=headers, json=payload, stream=True)
         response_code = f"{response}"
         print(response_code)
@@ -144,9 +145,9 @@ def gpt_predict(inputs, request:gr.Request=gr.State([]), top_p = 1, temperature
                     return [(parse_codeblock(history[i]), parse_codeblock(history[i + 1])) for i in range(0, len(history) - 1, 2) ], history, chat_counter, response, gr.update(interactive=False), gr.update(interactive=False)  # resembles {chatbot: chat, state: history}  
     except Exception as e:
         print (f'error found: {e}')
-    yield [(parse_codeblock(history[i]), parse_codeblock(history[i + 1])) for i in range(0, len(history) - 1, 2) ], history, chat_counter, response, gr.update(interactive=True), gr.update(interactive=True)
     print(json.dumps({"chat_counter": chat_counter, "payload": payload, "partial_words": partial_words, "token_counter": token_counter, "counter": counter}))
-         
+    return [(parse_codeblock(history[i]), parse_codeblock(history[i + 1])) for i in range(0, len(history) - 1, 2) ], history, chat_counter, response, gr.update(interactive=True), gr.update(interactive=True)
+
 
 # Define the pipeline
 def speech_to_speech_translation(audio):
@@ -160,7 +161,7 @@ def predict(transType, language, audio, audio_mic = None):
         print("debug1:", audio,"debug2", audio_mic)
         if not audio and audio_mic:
             audio = audio_mic
-        
+        return gpt_predict("What time is it?")
         if transType == "Text":
             return translate(audio), None
         if transType == "GPT answer":