feat: add text to speach reply

app.py

@@ -1,8 +1,8 @@
-import os
-
 import gradio as gr
 import openai
+import os
 from dotenv import load_dotenv
+import pyttsx3
 
 load_dotenv()
 
@@ -11,16 +11,15 @@ messages = [{"role": "system", "content": "You are  a software architect"}]
 
 
 def process(request):
-    print(request)
-    file = open(request, "rb")
-    print(file)
-    transcription = openai.Audio.transcribe("whisper-1", file)
-
-    messages.append({"role": "user", "content": transcription["text"]})
+    messages.append({"role": "user", "content": request})
     completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=messages)
+    reply = completion.choices[0].message.content
 
-    messages.append({"role": "assistant", "content": completion.choices[0].message.content})
+    engine = pyttsx3.init()
+    engine.say(reply)
+    engine.runAndWait()
 
+    messages.append({"role": "assistant", "content": reply})
     res = ''
     for message in messages:
         if message["role"] == "system":
@@ -31,7 +30,7 @@ def process(request):
     return res
 
 
-question_box = gr.Audio(label="Ask question to assistant", type='filepath', source='microphone')
+question_box = gr.Textbox(label="Ask question to assistant")
 chat_log_box = gr.Textbox(label="Chat Log", max_lines=150)
 
 ui = gr.Interface(fn=process, inputs=question_box, outputs=chat_log_box)