Update app.py

app.py

@@ -2,21 +2,13 @@
 import openai
 import gradio as gr
 import os
-from gtts import gTTS
-from pdfminer.high_level import extract_text
-
-
 openai.api_key = os.getenv("OPENAI_API_KEY")
 
 from transformers import pipeline
 p = pipeline("automatic-speech-recognition",model="openai/whisper-tiny")
 
-def text_to_speech(text):
-    myobj = gTTS(text=text, lang='en', slow=False) 
-    myobj.save("test.wav") 
-    return 'test.wav'
 
-audio = test.wav
+
 
 def transcribe(audio):
     text = p(audio)["text"]
@@ -76,8 +68,7 @@ def chatbot(input1,input2):
             reply = chat.choices[0].message.content        
     
         messages.append({"role": "assistant", "content": reply})
-        return text_to_speech(reply)
-        
+        return reply
 
         
 ##inputs = gr.inputs.Textbox(lines=7, label="Chat with PepsiCo AI assitant")
@@ -88,12 +79,11 @@ inputs= [ gr.Audio(source="microphone", type="filepath"),
           gr.inputs.Textbox(lines=7)]
 
 
-#outputs = gr.outputs.Textbox(label="Reply")
-
+outputs = gr.outputs.Textbox(label="Reply")
 
 gr.Interface(fn= chatbot, 
              inputs= inputs, 
-             outputs= audio, 
+             outputs= outputs, 
              title="PepsiCo-chatbot",
              description="Give your order",
              theme="compact").launch()